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Circuit breaker service life prediction method based on small sample learning

A life prediction and circuit breaker technology, which is applied in circuit breaker testing and other directions, can solve problems such as low diagnostic accuracy and efficiency, complex matrix operation process, and difficulty in meeting field applications, so as to improve prediction accuracy and ensure safety and reliability , the effect of simple scheme

Pending Publication Date: 2021-10-01
STATE GRID ZHEJIANG ELECTRIC POWER CO MARKETING SERVICE CENT
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Problems solved by technology

[0005] However, the above method requires more variables to be collected, and the Markov chain prediction method is used. All items are statistically independent, so the future state is independent of all past states, and at the same time, it is necessary to understand the various probabilities of each state change , if there is an inaccurate error in the calculation of a state, it will lead to an error in the entire prediction result; the matrix operation process is also very complicated, the diagnosis efficiency is low, and it is difficult to meet the requirements of field applications. Therefore, the above method still has its own limitations. The actual diagnosis Accuracy and diagnostic efficiency are low

Method used

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  • Circuit breaker service life prediction method based on small sample learning
  • Circuit breaker service life prediction method based on small sample learning
  • Circuit breaker service life prediction method based on small sample learning

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specific Embodiment

[0122] Phase 1 data set collection:

[0123] Step 1: Follow the figure 1 Schematic diagram of the system principle to build the experimental data collection platform.

[0124] Step 2: According to figure 2 Flowchart of data acquisition process Data acquisition of the vibration waveform generated by the opening and closing of the circuit breaker, and record its time domain data T data and frequency domain data F data .

[0125] Step 3: When performing step 2, record the opening and closing times Ω and the opening and closing current I of the circuit breaker at the same time.

[0126] Step 4: Substituting the discrete data of different switching currents I and switching times Ω of the circuit breaker recorded in step 3 into the formula (1) to obtain switching current I, switching times Ω and theoretical electrical wear E loss relational expression

[0127]

[0128] Among them, E loss Indicates the theoretical amount of electrical wear, α indicates the opening and closin...

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Abstract

The invention discloses a circuit breaker service life prediction method based on small sample learning, and belongs to the technical field of circuit breaker equipment. According to the circuit breaker service life prediction method based on small sample learning, a small sample learning method is utilized, the needed sample size can be generated according to a small amount of data, a prediction model can be established without a large number of fault diagnosis sample libraries, the prediction efficiency is high, and the application cost is low; and the health condition of the circuit breaker is analyzed and the service life of the circuit breaker is predicted according to the vibration waveform of the circuit breaker. According to the circuit breaker service life prediction method, a Markov chain prediction method is not adopted, complex probability calculation of each state is not needed, the prediction accuracy can be effectively improved, the actual prediction accuracy and prediction efficiency can meet the requirements of field application, and the method is simple, effective and feasible. Furthermore, the maintenance efficiency of the circuit breaker is improved, operation and maintenance personnel can master the operation state in time, and safety and reliability of power supply are guaranteed.

Description

technical field [0001] The invention relates to a method for predicting the service life of a circuit breaker based on small sample learning, and belongs to the technical field of circuit breaker equipment. Background technique [0002] Low-voltage circuit breakers are one of the most important components of the entire low-voltage distribution system. They are widely used in the transmission and distribution of electric energy, the control and protection of electrical equipment, but due to the design, manufacture, material quality and Due to many reasons such as operation, the malignant failure of equipment occurs from time to time, which seriously affects the safe and stable operation of the power grid. Therefore, it is very important to grasp the health status of the circuit breaker to ensure the safe operation of the power system. [0003] The complexity of the circuit breaker mechanism and various uncertain factors will cause its performance to degrade during use, result...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/327
CPCG01R31/327
Inventor 王朝亮李熊肖涛陆春光刘炜李亦龙
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO MARKETING SERVICE CENT
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