System and method for diagnosing a controller in a limited rotation motor system

Abstract
A method of analyzing a limited rotation motor system is disclosed. The method includes the step of providing a motor control frequency domain signal that is representative of a frequency domain representation of the motor control signal responsive to a first digital signal that is representative of a motor control signal. The method also includes the step of providing a position detection frequency domain signal that is representative of a frequency domain representation of the position detection signal responsive to a second digital signal that is representative of a position detection signal. The system further includes the steps of identifying a representation of the frequency response of the limited rotation motor responsive to the position detection frequency domain signal and the motor control frequency domain signals, and comparing the representation of the frequency response with a previously recorded representation of a prior frequency response to identify an error condition with respect to the limited rotation motor system.
Description
BACKGROUND

The present invention generally relates to limited rotation motor systems, and relates in particular to systems and methods for designing and adjusting limited rotation motor systems.


Limited rotation motors generally include stepper motors and constant velocity motors. Certain stepper motors are well suited for applications requiring high speed and high duty cycle sawtooth scanning at large scan angles. For example, U.S. Pat. No. 6,275,319 discloses an optical scanning device for raster scanning applications.


Limited rotation motors for certain applications, however, require the rotor to move between two positions with a precise and constant velocity rather than by stepping and settling in a sawtooth fashion. Such applications require that the time needed to reach the constant velocity be as short as possible and that the amount of error in the achieved velocity be as small as possible. Constant velocity motors generally provide a higher torque constant and typically include a rotor and drive circuitry for causing the rotor to rotate about a central axis, as well as a position transducer, e.g., a tachometer or a position sensor, and a feedback circuit coupled to the transducer that permits the rotor to be driven by the drive circuitry responsive to an input signal and a feedback signal. For example, U.S. Pat. No. 5,424,632 discloses a conventional two-pole limited rotation motor.


A limited rotation torque motor may be modeled or represented by a double-integrator model plus several flexible modes and low frequency non-linear effects. A typical closed-loop servo system for a galvanometer includes integral actions for low frequency uncertainties and a notch filter for high frequency resonant modes. System operation is chosen at the mid-frequency range where the system is well modeled by the rigid body. For a double integrator rigid body model, there is a direct relationship between the open-loop gain and the cross-over frequency on the frequency response plot. For example, an automatic timing system for a servowriter head positioning system is disclosed in Autotuning of a servowriter head positioning system with minimum positioning error, Y. H. Huang, S. Weerasooriya and T. S. Low, J. Applied Physics, v. 79 pp. 5674-5676 (1996).



FIG. 1 shows a limited rotation torque motor system 10 of the prior art. The system 10 includes a controller 12 (e.g., a position, integral, derivative or PID controller) that receives an input command 14. The controller 12 provides a control signal to a motor 16, which moves an optical element such as a mirror to provide position changes 18 responsive to the input command 14. The system also includes a position detector 20 that provides a position detection signal 22 that is also provided to the controller 12 with the input command 14. Open-loop gain (or 0 dB cross-over variations) of the system affects closed-loop system performance if the controller is not adaptive to these variations.


Such limited rotation motors may be used, for example, in a variety of laser scanning applications, such as high speed surface metrology. Further laser processing applications include laser welding (for example high speed spot welding), surface treatment, cutting, drilling, marking, trimming, laser repair, rapid prototyping, forming microstructures, or forming dense arrays of nanostructures on various materials.


Limited rotation torque motors, however, eventually fail after finite usage. As methodologies are developed to drive limited rotation motors harder, failure may come at unanticipated times. The ability to gauge the condition of a limited rotation motor is helpful in predicting the life of a motor. Moreover, it is desirable to be able to gauge the condition of a limited rotation motor in situ without requiring that the motor be return to the manufacturer for analysis.


There is a need, therefore, for a method of monitoring a limited rotation torque motor, and more particularly, there is a need for a method of diagnosing the health and life of a limited rotation torque motor.


SUMMARY

In accordance with an embodiment, the invention provides a method of analyzing a limited rotation motor system. The method includes the step of providing a motor control frequency domain signal that is representative of a frequency domain representation of a motor control signal responsive to the first digital signal that is representative of a motor control signal. The method also includes the step of providing a position detection frequency domain signal that is representative of a frequency domain representation of a position detection signal responsive to a second digital signal that is representative of the position detection signal. The system further includes the steps of identifying a representation of the frequency response of the limited rotation motor responsive to the position detection frequency domain signal and the motor control frequency domain signals, and comparing the representation of the frequency response with a previously recorded representation of a prior frequency response to identify an error condition with respect to the limited rotation motor system.





BRIEF DESCRIPTION OF THE DRAWINGS

The following description may be further understood with reference to the accompanying drawings in which:



FIG. 1 shows an illustrative diagrammatic functional view of a limited rotation motor and control system in accordance with the prior art;



FIG. 2 shows an illustrative diagrammatic functional view of a limited rotation motor and diagnostic system in accordance with an embodiment of the invention;



FIGS. 3A and 3B show illustrative graphical representations of a pseudo random binary sequence excitation signal that is provided to a motor controller, and the associated position detection signal that is produced by the motor in response to the pseudo random binary sequence;



FIG. 4 shows an illustrative diagrammatic representation of a diagnosis unit in accordance with an embodiment of the invention;



FIG. 5 shows an illustrative graphical representation of a measured frequency response of a system in accordance with an embodiment of the invention;



FIG. 6 shows illustrative graphical representations of measured frequency responses that show a change in low frequency response in accordance with certain embodiments of the invention;



FIG. 7 shows illustrative graphical representations of measured frequency responses that show a change in torque constant in accordance with another embodiment of the invention;



FIG. 8 shows illustrative graphical representations of measured frequency responses that show asymmetrical performance in accordance with a further embodiment of the invention. and



FIG. 9 shows an illustrative diagrammatic functional view of a limited rotation motor and diagnostic system in accordance with a further embodiment of the invention;





The drawings are shown for illustrative purposes only.


DETAILED DESCRIPTION OF THE ILLUSTRATED EMBODIMENTS

In accordance with various embodiments of the invention, limited rotation motor performance data is captured from a motor system, and that data is analyzed to determine a diagnosis of a variety of conditions that may negatively impact the performance of the system. In an embodiment, a Bode plot of the magnitude of an output signal responsive to an input sign wave is determined for all operating frequencies. This plot is determined over a very small range (e.g., <1 degree). Another plot may be determined either for the same range at a later time, or at a different range. Comparing these plots yields useful information regarding the galvanometer system. For example, inconsistencies at low frequencies over time for the same range may indicate an imminent bearing failure. Inconsistencies at middle frequencies over time may indicate a significant loss in torque constant. Inconsistencies at different portions of the range (e.g., the +1 to +20 degree range as compared to the −1 to −20 degree range) may indicate asymmetrical performance.


A common cause of failure in limited rotation motors is bearing failure, which typically occurs gradually over time. Other problems during operation may include changes in the torque constant or changes in the symmetry of the response of the motor with respect to a zero angle position.


In accordance with various embodiments of the invention, limited rotation motor performance data is captured from a motor system. A pseudo random binary sequence (PRBS) excitation signal is input to the system. The signal that is input to the motor (the motor input signal) is recorded, and the position signal that is received from the position detector (the PD signal) is also recorded. A Fast Fourier Transform (FFT) is performed on each signal, and a frequency response representation for the PD signal is compared to the frequency response representation for the motor input signal by taking the ratio of these two representations. The ratio provides a sequence (the ratio sequence) that represents the open loop frequency response for the system. The open loop frequency response may be provided in a Bode plot of the magnitude versus frequency. A mathematical system model may then be generated that represents the transfer function of the motor system. Knowing the mathematical model for a motor system at a particular time and angular range of movement, permits a diagnosis system to compare the mathematical model with the model for other earlier times, and/or with other positions along the range of rotation of the rotor.


The system provides that the identification of the open loop cross over frequency variations in the motor system may be identified automatically (even via a remote digital network). The automatic identification may be performed closed-loop so that system stability is not affected during the procedure. A data collection procedure may be performed in milliseconds.


An automatic identification system in accordance with an embodiment of the invention may involve system excitation using a pseudo random binary sequence (PRBS), then conducting a Fast Fourier Transform on the captured time responses. The system identification is then modeled using the FFT data.



FIG. 2 shows an illustrative diagrammatic view of a system 30 in accordance with an embodiment of the invention. The system 30 includes a PID controller 32 that receives an input command 34. The controller 32 provides a control signal 35 to a motor 36, which moves an optical element such as a mirror to provide position changes 38 responsive to the input command 34. The system 30 also includes a position detector 40 that provides a position detection signal 42 that is also provided to the controller 42 with the input command 34. The controller 32 includes proportional amplifier 44 (kp), an integrating element 46 (ki), and a derivative element 48 (kd). The system also includes a diagnosis unit 50 that receives the motor control signal that is provided by the controller 32 and the position detection signal 42, and outputs an error signal 52. The motor control signal and the position detection signal are provided in digital form to a FFT converter within the diagnosis unit 50 to determine the closed loop frequency responses, and the open loop frequency response is derived from the closed loop frequency response.


In particular, a pseudo random binary sequence (PRBS) is input to the system either as the input command 34 or is provided as a perturbation to the output of the controller 32. The data points for the PRBS excitation signal may be powers of twos. FIG. 3A shows at 60 a PRBS signal, and FIG. 3B shows at 62 a position detection provided by the motor in response to the PRBS signal shown in FIG. 3A. The input process may capture, for example, 1024 data points for each input signal. In further embodiments other types of excitation signals may be used, such as a while noise generator excitation signal, a Guassian noise generator excitation signal, or a swept sine excitation signal that provides a sine signal at all frequencies.


As shown in FIG. 4, the captured control signal 35 and position detection signal 42 may be converted to digital signals by A/D converters 54 and 56 is either signal is not already in digital form. Once the input signals are in digital form, they may be transmitted any distance, for example, via a network, and the output PID adjustment signals may also be transmitted via a network in a digital environment. The digital input time domain signals are then converted to frequency domain representations of the signals by FFT converter units 64 and 66 respectively. Each FFT provides a complex polynomial of the form a0w0, a1w1, a2w2 . . . anwn, where n may, for example, be 512. A sequence of the ratios of the values a0, a1, a2 . . . an for the position detection signal 42 over the respective values a0, a1, a2 . . . an for the control signal yields a sequence of magnitudes m0, m1, m2 . . . mn. This ratio sequence is provided by the ratio sequence unit 68. These magnitudes m0, m1, m2 . . . mn provide the open loop frequency responses for the system and may be plotted in graphical form as shown at 90 in FIG. 5. As shown in FIG. 5, the system may experience some distortion at low frequencies 92, some harmonic resonance at high frequencies 94, and may be operated in the mid frequency range 96. The data collection procedure may require very little time, for example 13.44 μsec for a 1024 PBRS sequence.


Having determined the open loop frequency responses, the system may then store these responses for later comparison to identify changes that occur over time. In particular, the system may periodically generate the closed loop frequency responses and compare the current response with a prior response as determined at the comparison unit 70. If a significant change occurs in the low frequency range (as determined by low frequency analysis unit 72), then the system will identify that a potential problem exists in the bearings as shown at 74. FIG. 6 shows two closed loop frequency responses 100 and 102. The response 100 is recorded at a time prior to the response 102. As shown in FIG. 6, a significant change occurs in the low frequency range as shown at 104, indicating that the bearings are beginning to fail.


If a significant change occurs in the mid frequency range (as determined by mid frequency analysis unit 76), then the system will identify that the torque constant has changed as shown at 78. FIG. 7 shows two closed loop frequency responses 110 and 112. The response 110 is recorded at a time prior to the response 112. As shown in FIG. 7, a significant change occurs at a designated magnitude cross-over point due to the shift in the response curve as indicated at 114. Such a change in cross-over is indicative of a change in the torque constant of the system.


The system may also compare the closed loop frequency response with closed loop frequency responses for other portions of the range (e.g., +20 degrees to −20 degrees). If the closed loop frequency response is determined using less than one degree of range of movement, then many points along the range may be identified. As shown in FIG. 4, the closed loop frequency response may be compared (at comparator 80) with previously recorded (e.g., immediately previously recorded) closed loop frequency responses for other portions of the range. If the variation is greater than a threshold variation (as determined by unit 82), then an error condition is flagged by the asymmetry unit 84. For example, FIG. 8 shows an expected symmetrical torque constant representation 120 over the range of −20 degrees to +20 degrees, as well as a measured torque constant representation 122 over the same range. As shown, the measured torque constant is not symmetrical with respect to the zero angle over the −20 degrees to +20 degrees range, Such asymmetry may significantly negatively impact the performance of a limited rotation motor if undetected. Once detected, the system may either make adjustments to only use a portion of the range that is symmetrical with respect to its mid point, or may actually create PID adjustments for different portions of the range.


The diagnosis unit 50 then outputs an error signal 52 indicative of any of the existence of an error condition, such as a bearing being in poor condition, a change in torque constant, or an asymmetric condition.


As shown in FIG. 9, a diagnostic system for a limited rotation motor system 130 in accordance with a further embodiment of the invention may include a PID controller 132 that receives an input command 134. The controller 132 provides a control signal 135 to a motor 136, which moves an optical element such as a mirror to provide position changes 138 responsive to the input command 134. The system 130 also includes a position detector 140 that provides a position detection signal 142 that is also provided to the controller 142 with the input command 134. The controller 132 includes proportional amplifier 144 (kp), a integrating element 146 (ki), and a derivative element 148 (kd). The system also includes a diagnosis unit 150 that receives the motor control signal that is provided by the controller 132 and the position detection signal 142. The motor control signal and the position detection signal are provided in digital form to a FFT converter within the diagnosis unit 150 to determine the closed loop frequency responses, and the open loop frequency response is derived from the closed loop frequency response.


In the embodiment of FIG. 9, the diagnosis unit 150 determines an appropriate adjustment for the PID controller to accommodate for changes that need to be made to the coefficients kp, ki and kd for the proportional unit, the integral unit and/or the derivative unit respectively to correct for a detected error condition. For example, if an error condition is detected indicating that the torque constant has changed by an amount of for example a factor of two, then the kp, ki and kd coefficients may each be increased by a factor of two as well. The system 130, therefore, provides that in the event of certain error conditions being identified, the system may also attempt to correct for the detected error conditions.


Those skilled in the art will appreciate that numerous modifications and variations may be made to the above disclosed embodiments without departing from the spirit and scope of the invention.

Claims
  • 1. A method of analyzing a limited rotation motor system, said method comprising the steps of: providing a motor control frequency domain signal that is representative of a frequency domain representation of a motor control signal responsive to a first digital signal that is representative of the motor control signal;providing a position detection frequency domain signal that is representative of a frequency domain representation of a position detection signal responsive to a second digital signal that is representative of the position detection signal;identifying a representation of the frequency response of the limited rotation motor responsive to the motor control frequency domain signal and the position detection frequency domain signal; andcomparing the representation of the frequency response with a previously recorded representation of a prior frequency response to identify an error condition with respect to the limited rotation motor system.
  • 2. The method as claimed in claim 1, wherein said step of providing a motor control frequency domain signal and said step of providing a position detection frequency domain signal each involve performing a Fast Fourier Transform.
  • 3. The method as claimed in claim 1, wherein said representation of the frequency response includes a ratio of the position detection frequency domain signal and the motor control frequency domain signal.
  • 4. The method as claimed in claim 3, wherein said ratio is provided by the position detection frequency domain signal divided by the motor control frequency domain signal.
  • 5. The method as claimed in claim 1, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves comparing a low frequency range of the frequency response with the prior frequency response.
  • 6. The method as claimed in claim 5, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves providing a failed bearing error signal that is indicative of whether a bearing is at risk of failing.
  • 7. The method as claimed in claim 1, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves comparing a mid frequency range of the frequency response with the prior frequency response.
  • 8. The method as claimed in claim 7, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves providing a torque constant error signal that is indicative of a change in torque constant of the limited rotation motor.
  • 9. The method as claimed in claim 1, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves providing an asymmetry error signal that is indicative of whether the range of movement of a rotor shaft of the limited rotation motor is not symmetrical with respect to the torque constant.
  • 10. The method as claimed in claim 1, wherein said limited rotation motor system includes a proportional, integral, derivative controller.
  • 11. The method as claimed in claim 10, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves providing corrective signals to the proportional, integral, derivative controller.
  • 12. A method of analyzing a limited rotation motor system, said method comprising the steps of: providing a motor control frequency domain sequence that is representative of a frequency domain representation of a motor control signal for a plurality of frequencies responsive to a first digital signal that is representative of the motor control signal using a first Fast Fourier Transform;providing a position detection frequency domain sequence that is representative of a frequency domain representation of a position detection signal for the plurality of frequencies responsive to a second digital signal that is representative of the position detection signal using a second Fast Fourier Transform;identifying a representation of the frequency response for the plurality of frequencies of the limited rotation motor responsive to the motor control frequency domain signal and the position detection frequency domain signal; andcomparing the representation of the frequency response with a previously recorded representation of a prior frequency response to identify an error condition with respect to the limited rotation motor system.
  • 13. The method as claimed in claim 12, wherein said representation of the frequency response includes a ratio of the position detection frequency domain signal and the motor control frequency domain signal.
  • 14. The method as claimed in claim 13, wherein said ratio is provided by the position detection frequency domain signal divided by the motor control frequency domain signal.
  • 15. The method as claimed in claim 12, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves compares a low frequency range of the frequency response with the prior frequency response.
  • 16. The method as claimed in claim 15, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves providing a failed bearing error signal that is indicative of whether a bearing is at risk of failing.
  • 17. The method as claimed in claim 12, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves comparing a mid frequency range of the frequency response with the prior frequency response.
  • 18. The method as claimed in claim 17, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves providing a torque constant error signal that is indicative of a change in torque constant of the limited rotation motor.
  • 19. The method as claimed in claim 12, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves providing an asymmetry error signal that is indicative of whether the range of movement of a rotor shaft of the limited rotation motor is not symmetrical with respect to the torque constant.
  • 20. The method as claimed in claim 12, wherein said limited rotation motor system includes a proportional, integral, derivative controller.
  • 21. The method as claimed in claim 20, wherein said step of comparing the representation of the frequency response with a previously recorded representation of a prior frequency response involves providing corrective signals to the proportional, integral, derivative controller.
Parent Case Info

The present application is a continuation application of U.S. patent application Ser. No. 11/040,332 which was filed on Jan. 21, 2005, now U.S. Pat. No. 7,170,251 B2, which claims priority to U.S. Provisional Patent Application Ser. No. 60/538,842 filed Jan. 23, 2004, and claims priority to U.S. Provisional Patent Application Ser. No. 60/575,255 filed May 28, 2004, and claims priority to U.S. Provisional Patent Application Ser. No. 60/613,962 filed Sep. 28, 2004.

US Referenced Citations (142)
Number Name Date Kind
3932794 Iwako Jan 1976 A
3999043 Reiss et al. Dec 1976 A
4151567 Dorsemagen et al. Apr 1979 A
4282468 Barker et al. Aug 1981 A
4398241 Baker et al. Aug 1983 A
4514671 Louth Apr 1985 A
4532402 Overbeck et al. Jul 1985 A
4536806 Louth Aug 1985 A
4624368 Satake Nov 1986 A
4631605 O'Gwynn Dec 1986 A
4646280 Toyosawa Feb 1987 A
4670653 McConkle et al. Jun 1987 A
4809253 Baas et al. Feb 1989 A
4845698 Baas Jul 1989 A
4855674 Murate et al. Aug 1989 A
4864295 Rohr Sep 1989 A
4870631 Stoddard Sep 1989 A
4893068 Evans, Jr. Jan 1990 A
4903131 Lingemann et al. Feb 1990 A
4930027 Steele et al. May 1990 A
4956831 Sarraf et al. Sep 1990 A
4961117 Rumley Oct 1990 A
4965513 Haynes et al. Oct 1990 A
4972344 Stoddard et al. Nov 1990 A
4978909 Hendrix et al. Dec 1990 A
5075875 Love et al. Dec 1991 A
5093608 Kono et al. Mar 1992 A
5119213 Graves et al. Jun 1992 A
5122720 Martinson et al. Jun 1992 A
5157597 Iwashita Oct 1992 A
5167002 Fridhandler Nov 1992 A
5185676 Nishiberi et al. Feb 1993 A
5187364 Blais et al. Feb 1993 A
5225770 Montagu Jul 1993 A
5229574 Stone Jul 1993 A
5245528 Saito et al. Sep 1993 A
5257041 Kresock et al. Oct 1993 A
5275041 Poulsen Jan 1994 A
5280377 Chandler et al. Jan 1994 A
5285378 Matsumoto Feb 1994 A
5293102 Martinson et al. Mar 1994 A
5313147 Yoneda et al. May 1994 A
5331264 Cheng et al. Jul 1994 A
5375186 Schuettpelz Dec 1994 A
5406496 Quinn et al. Apr 1995 A
5424526 Leonhardt et al. Jun 1995 A
5424632 Montagu Jun 1995 A
5452285 Monen Sep 1995 A
5453618 Sutton et al. Sep 1995 A
5523701 Smith et al. Jun 1996 A
5534071 Varshney et al. Jul 1996 A
5537109 Dowd Jul 1996 A
5541486 Zoller et al. Jul 1996 A
5568377 Seem et al. Oct 1996 A
5576632 Petsche et al. Nov 1996 A
5585976 Pham Dec 1996 A
5589870 Curry et al. Dec 1996 A
5600121 Kahn et al. Feb 1997 A
5604516 Herrod et al. Feb 1997 A
5610487 Hutsell Mar 1997 A
5629870 Farag et al. May 1997 A
5646765 Laakmann et al. Jul 1997 A
5653900 Clement et al. Aug 1997 A
5656908 Rehm Aug 1997 A
5699494 Colbert et al. Dec 1997 A
5726883 Levine et al. Mar 1998 A
5726905 Yazici et al. Mar 1998 A
5742503 Yu Apr 1998 A
5742522 Yazici et al. Apr 1998 A
5767494 Matsueda et al. Jun 1998 A
5801371 Kahn et al. Sep 1998 A
5805448 Lindsay et al. Sep 1998 A
5808725 Moberg et al. Sep 1998 A
5859774 Kuzuya et al. Jan 1999 A
5869945 Ha et al. Feb 1999 A
5886335 Matsueda Mar 1999 A
5886422 Mills Mar 1999 A
5912541 Bigler et al. Jun 1999 A
5914924 Takagi et al. Jun 1999 A
5917428 Discenzo et al. Jun 1999 A
5986989 Takagi et al. Nov 1999 A
6006170 Marcantonio et al. Dec 1999 A
6041287 Dister et al. Mar 2000 A
6054828 Hill Apr 2000 A
6072653 Goker Jun 2000 A
6081751 Luo et al. Jun 2000 A
6107600 Kurosawa et al. Aug 2000 A
6144011 Moss et al. Nov 2000 A
6198176 Gillette Mar 2001 B1
6198246 Yutkowitz Mar 2001 B1
6199018 Quist et al. Mar 2001 B1
6211484 Kaplan et al. Apr 2001 B1
6211639 Meister et al. Apr 2001 B1
6211640 Fujisaki et al. Apr 2001 B1
6243350 Knight et al. Jun 2001 B1
6256121 Lizotte et al. Jul 2001 B1
6259221 Yutkowitz Jul 2001 B1
6275319 Gadhok Aug 2001 B1
6281650 Yutkowitz Aug 2001 B1
6304359 Gadhok Oct 2001 B1
6317637 Limroth Nov 2001 B1
6350239 Ohad et al. Feb 2002 B1
6353766 Weinzierl Mar 2002 B1
6424873 Przybylski Jul 2002 B1
6442444 Matsubara et al. Aug 2002 B2
6445962 Blevins et al. Sep 2002 B1
6449564 Kliman et al. Sep 2002 B1
6453722 Liu et al. Sep 2002 B1
6463352 Tadokoro et al. Oct 2002 B1
6496782 Claus et al. Dec 2002 B1
6510353 Gudaz et al. Jan 2003 B1
6577907 Czyszczewski et al. Jun 2003 B1
6622099 Cohen et al. Sep 2003 B2
6643080 Goodner, III et al. Nov 2003 B1
6646397 Discenzo Nov 2003 B1
6690534 Ding et al. Feb 2004 B2
6697685 Caldwell Feb 2004 B1
6721445 Azencott Apr 2004 B1
6727725 Devaney et al. Apr 2004 B2
6774601 Schwartz et al. Aug 2004 B2
6782296 Hoche Aug 2004 B2
6812668 Akiyama Nov 2004 B2
6822415 Komiya et al. Nov 2004 B1
6826519 Fujino Nov 2004 B1
6850812 Dinauer et al. Feb 2005 B2
6853951 Jarrell et al. Feb 2005 B2
6876167 Jones Apr 2005 B1
6885972 Samata et al. Apr 2005 B2
6895352 Josselson et al. May 2005 B2
6937908 Chang et al. Aug 2005 B2
7039557 Mayer et al. May 2006 B2
7183738 Ikeda et al. Feb 2007 B2
7190144 Huang Mar 2007 B2
20020049513 Nussbaum et al. Apr 2002 A1
20030097193 Makino et al. May 2003 A1
20030128240 Martinez et al. Jul 2003 A1
20030163296 Richards Aug 2003 A1
20040135534 Cullen Jul 2004 A1
20050174124 Huang Aug 2005 A1
20050228512 Chen et al. Oct 2005 A1
20050251271 Cutler Nov 2005 A1
20070121485 Huang May 2007 A1
Foreign Referenced Citations (24)
Number Date Country
2359739 Apr 2003 CA
4211213 Oct 1993 DE
0260138 Mar 1988 EP
0378093 Jul 1990 EP
0339402 Jun 1993 EP
1283593 Feb 2003 EP
1298511 Apr 2003 EP
2600789 Dec 1987 FR
951785 Mar 1964 GB
63190584 Aug 1988 JP
01224189 Sep 1989 JP
04229088 Aug 1992 JP
05036851 Feb 1993 JP
07114402 May 1995 JP
2000028955 Jan 2000 JP
2000330641 Nov 2000 JP
2001245488 Sep 2001 JP
2002199147 Jul 2002 JP
2003044111 Feb 2003 JP
WO9318525 Sep 1993 WO
WO9917282 Apr 1999 WO
WO 0103303 May 2001 WO
WO0164591 Sep 2001 WO
WO03097290 Nov 2003 WO
Related Publications (1)
Number Date Country
20070089500 A1 Apr 2007 US
Provisional Applications (3)
Number Date Country
60613962 Sep 2004 US
60575255 May 2004 US
60538842 Jan 2004 US
Continuations (1)
Number Date Country
Parent 11040332 Jan 2005 US
Child 11565012 US