The invention relates to the field of circuit breaker, and more particularly to monitoring health condition of circuit breaker.
Circuit breaker is one of the most critical components of a substation, whose safety and reliability are of high importance to the overall power grid. The market of smart circuit breaker is increasing rapidly these years, especially with the world's growing attention on digital products. Therefore, it's desired by the market a kind of smart circuit breaker being able to real-time monitor its defects and severity thereof before evolving to real failure, namely to monitor its health condition before real failure occurring.
Circuit breaker defect monitoring is known in the prior art as shown in Patent CN 105629164 A. In the above referenced patent, health condition of an energy storage spring of a circuit breaker is on-line monitored by observing tension and pressure applied to the spring and its ambient temperature. The heath condition of the spring is determined based on measurements of those operating condition related parameters and applying simple threshold comparison.
In the prior art, the threshold is applied for assessing the health condition of particular element of the circuit breaker, such as the spring. This suffices the purpose of monitoring health condition of the particular element only. Because of the threshold's peculiarity indicating the defects of spring, it is generally impractical to use such threshold for judging a health condition of an actuating mechanism of the circuit breaker, which generally includes but not limited to a linkage mechanism, an energy storage spring, and so on.
According to an aspect of present invention, it provides a method for monitoring a circuit breaker, including: obtaining a first data set representing force applied to a fixed point of an element of an actuating mechanism of the circuit breaker in present operation cycle, judging a health condition of the circuit breaker in consideration of normal operating condition related parameters of the element according to a history profile when the circuit breaker operated normally and current operating condition related parameters of the element in the present operation cycle extracted from the force represented by the first data set, and generating a signal indicating the health condition of the actuating mechanism of the circuit breaker the circuit breaker.
According to another aspect of present invention, it provides an apparatus for monitoring a circuit breaker, including: a force sensor, being configured to measure a force applied to a fixed point of an element of an actuating mechanism of the circuit breaker in present operation cycle and generate a first data set representing the measurement of the force in the present operation cycle; and a microprocessor, being configured to judge a health condition of the circuit breaker in consideration of normal operating condition related parameters of the element according to a history profile when the circuit breaker operated normally and current operating condition related parameters of the element in the present operation cycle extracted from the force represented by the first data set, and being configured to generate a signal indicating the health condition of the actuating mechanism of the circuit breaker.
According to another aspect of present invention, it provides an internet of things, including: a circuit breaker, the apparatus for monitoring a circuit breaker, and a server having the microprocessor of the apparatus for monitoring the circuit breaker.
By having the solutions according to present invention, the force applied to the fixed point of the actuating mechanism of the circuit breaker, which corresponds to a health condition of mechanical parts of the circuit breaker as a whole, is selected as an indicator for condition monitoring of the mechanical parts of the circuit breaker. The operating condition related parameters derived from the measurements of the force are considered giving a relatively high accurate judgement of the whole mechanical parts of the circuit breaker.
A technical effect of the circuit breaker monitoring apparatus and methods described herein featured in terms of high accuracy because of using force sensor and proper time-frequency analysis method, high intelligence due to automatic model developing based on data-driven solutions.
Preferably the operating condition related parameters of the element concern with at least one of: opening/closing speed of a movable contact of the circuit breaker, total travel of the movable contact, timing of the opening/closing, travel of the movable contact, and over travel of the movable contact.
Preferably, a second data set representing force applied to the fixed point in a plurality of operation cycles may be obtained from the history profile, and the normal operating condition related parameters for each of the operation cycles may be extracted from the force represented by the second data set.
Preferably, the extraction of the operating condition related parameters is adapted to low-frequency extraction.
Preferably, the second data set is divided into two groups respectively corresponding to a first number and a second number of the plurality of operation cycles from the history profile, in terms of the operating condition related parameter, identifying historical dissimilarity involving the respective one of the second number of the operation cycles and the first number of the operation cycles, in terms of the operating condition related parameter, identifying current dissimilarity involving the current operation cycle and the first number of the operation cycles, and the judgement of the health condition of the circuit breaker is based on a comparison of the historical dissimilarity and the current dissimilarity. During each operation cycle, the force measured at a fixed point of the actuating mechanism models the health condition of the circuit breaker, which varies from normal condition to defective condition of the actuating mechanism. By measuring and analysing the force during each operation cycle, a health condition of the actuating mechanism, which corresponds to a dissimilarity between current condition and historical healthy condition in terms of the operating condition related parameters, may be determined.
Preferably, the operation cycle covers a period when the circuit breaker starts from closing to opening or vice versa.
Preferably, the element is of a linkage mechanism having the fixed point as one of its fulcrums, or the element is of a spring.
The subject matter of the invention will be explained in more detail in the following text with reference to preferred exemplary embodiments which are illustrated in the drawings, in which:
The reference symbols used in the drawings, and their meanings, are listed in summary form in the list of reference symbols. In principle, identical parts are provided with the same reference symbols in the figures.
While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present invention as defined by the appended claims. Note, the headings are for organizational purposes only and are not meant to be used to limit or interpret the description or claims. Furthermore, note that the word “may” is used throughout this application in a permissive sense (i.e., having the potential to, being able to), not a mandatory sense (i.e., must). “The term “include”, and derivations thereof, mean “including, but not limited to”. The term “connected” means “directly or indirectly connected”, and the term “coupled” means “directly or indirectly connected”.
It can be observed that there exists a first dissimilarity between the normal travel curve 30 and the defective travel curve 31 in terms of each of the operating conditions. This holds true for closing operation, as well. The skilled person should understand that such dissimilarity can be used as indicator for the defect occurring in the circuit breaker.
As mentioned above, by monitoring the second dissimilarity involving the force curves 40, 41 of
For example, the history profile may be stored in the memory 52. The microprocessor 51 may be further configured to obtain a second data set representing force applied to the fixed point in a plurality of operation cycles from the history profile and extract operating condition related parameters for each of the operation cycles from the force represented by the second data set. In this embodiment, an offline normal data set {C_1, C_2,n . . . , C_n} of the target circuit breaker may be stored in the memory 52 (the second data set), while C_i (i=1, 2, . . . , n) each represents the force curve measured by the force sensor 50 in a respective one of the n normal operation cycles. From the low-frequency components of the n force curves, by applying finger print creation method, the operating condition related parameters of the the element 23 of the actuating mechanism 2 may be observed and calculated. In order to get the low-frequency components, the extraction of the operating condition related parameters may be adapted to low-frequency extraction, for example, by a low-pass filter. Such operating condition related parameter being extracted from the second data set, for example, concern with at least one of: opening/closing speed of a movable contact of the circuit breaker, total travel of the movable contact, timing of the opening/closing, travel of the movable contact, and over travel of the movable contact. Therefore, each component of the second data set C_i can be transferred to X_i including at least of the operating condition related parameter. Also, the offline normal dataset {C_1, C_2, . . . , C_n} becomes {X_1, X_2, . . . , X_n}.
The microprocessor 51 may be further configured to divide the second data set {C_1, C_2,n . . . , C_n} into two groups respectively corresponding to a first number and a second number of the plurality of operation cycles from the history profile. In this embodiment, for example, the offline normal second data set is evenly split into two parts, and the operating condition related parameters may be divided into D and D* accordingly, while D includes features of some normal samples in the first number, and D* includes features of the rest of the samples in the second number. D is considered as a benchmark matrix for residual calculation, and D* will be used for threshold determination.
D={X
1
, X
2
, . . . , X
m} (1)
D
*
{X
m+1
, X
m+2
, . . . , X
n} (2)
wherein: the first number counts from 1 to m, and the second number counts from m+1 to n.
In terms of the operating condition related parameter D and D*, the microprocessor 51 may be configured to identify historical dissimilarity involving the respective one of the second number of the operation cycles and the first number of the operation cycles. In this embodiment, for example, the historical dissimilarity of each measured data Xt can be calculated:
where St is the calculated dissimilarity.
In terms of the operating condition related parameter, the microprocessor 51 may be further configured to identify current dissimilarity, which is the dissimilarity of timely monitored data to historical normal data, involving the current operation cycle and the first number of the operation cycles. In this embodiment, for example, the microprocessor 51 may calculate the historical dissimilarity set Rtrain=[Rm+1, Rm+2, . . . , Rn] of all the feature vectors in D*, according to equation (3). Threshold value is determined as,
Thre=N·max(Rtrain) (6)
where N is recommended to be 3˜4.
The microprocessor 51 may be configured to give the judgement of the health condition of the circuit breaker based on a comparison of the historical dissimilarity and the current dissimilarity. In this embodiment, for example, the status determination is quite straight forward—for any measured data Xt, the corresponding status is abnormal if Rt>Thre, otherwise is normal.
During each operation cycle, the force measured at a fixed point of the actuating mechanism models the health condition of the circuit breaker, which varies from normal condition to defective condition of the actuating mechanism. By measuring and analysing the force during each operation cycle, a health condition of the actuating mechanism, which corresponds to a dissimilarity between current condition and historical healthy condition in terms of the operating condition related parameters, may be determined.
A technical effect of the circuit breaker monitoring apparatus and methods described herein featured in terms of high accuracy because of using force sensor and proper time-frequency analysis method, high intelligence due to automatic model developing based on data-driven solutions.
Though the present invention has been described on the basis of some preferred embodiments, those skilled in the art should appreciate that those embodiments should by no way limit the scope of the present invention. Without departing from the spirit and concept of the present invention, any variations and modifications to the embodiments should be within the apprehension of those with ordinary knowledge and skills in the art, and therefore fall in the scope of the present invention which is defined by the accompanied claims.
Number | Date | Country | |
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Parent | PCT/CN2017/088974 | Jun 2017 | US |
Child | 16521976 | US |