Research on Remote Fault Diagnosis of High Voltage Circuit Breakers Based on LabVIEW

2013 ◽  
Vol 765-767 ◽  
pp. 2294-2298
Author(s):  
Pei Zhang ◽  
Shu Tao Zhao ◽  
Lu Shen ◽  
Jing Guo ◽  
Xiao Qian Tian
Keyword(s):  
Fault Diagnosis ◽  
High Voltage ◽  
High Speed ◽  
Circuit Breaker ◽  
Fault Analysis ◽  
Accurate Information ◽  
Circuit Breakers ◽  
High Voltage Circuit Breaker ◽  
Analysis Theory ◽  
Maintenance Personnel

In order to ensure the reliability of the operational of circuit breaker, we used intelligent monitoring unit to realize the high-speed acquisition of the electrical, mechanical and insulated signal in the operation of the high voltage circuit breaker and actuator. Combined with signal processing and fault analysis theory, we estimate the operating status based on the accurate acquisition of the various operating parameters in breaker actuator. We also developed a system of remote online monitoring of circuit breaker status and fault diagnosis. The system ensures reliable operation of the circuit breaker. It also provides fast and accurate information for operation scheduling and maintenance personnel and accumulates large amounts of raw data for the state overhaul of the circuit breaker.

Research on Acoustic Mechanical Fault Diagnosis Method of High Voltage Circuit Breaker Based on Improved EEMD

2014 ◽  
Vol 687-691 ◽  
pp. 1054-1057 ◽  
Author(s):  
Xian Ping Zhao ◽  
Zhi Wan Cheng ◽  
Xiang Yu Tan ◽  
Wei Hua Niu
Keyword(s):  
Fault Diagnosis ◽  
High Voltage ◽  
Circuit Breaker ◽  
Vibration Signal ◽  
Fault Classification ◽  
Support Vector ◽  
Circuit Breakers ◽  
High Voltage Circuit Breaker ◽  
Fast Independent Component Analysis ◽  
Diagnosis Method

High voltage circuit breaker is one of the most significant devices and its health status will impact security of the power system. In this paper, the method of high voltage circuit breakers mechanical fault diagnosis is discussed, fault diagnosis method based on vibration signal is proposed. Firstly, the collected acoustic signals are proceed by blind source separation processing through fast independent component analysis. Then, the acoustic signal feature vector is extracted by improved ensemble empirical mode decomposition (EEMD) and the residual signal is filtered by fractional differential. Finally, the feature vectors are input into support vector machine (SVM) for fault diagnosis. Experiment shows that the proposed method can get more precise fault classification to high voltage circuit breakers.

scholarly journals Development and Fault Prediction of a New Operating Mechanism of HTPPM

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hongkui Yan ◽  
Xin Lin ◽  
Jianyuan Xu
Keyword(s):  
Neural Network ◽  
High Voltage ◽  
Ant Colony Algorithm ◽  
Circuit Breaker ◽  
High Energy ◽  
Least Square ◽  
Fault Prediction ◽  
High Energy Density ◽  
Circuit Breakers ◽  
High Voltage Circuit Breaker

In this article, we take a 126 kV single-break vacuum circuit breaker as the research object and study the application of high-energy-density PM motor in the high-voltage circuit breaker for the first time. The PM motor maintains maximum power density and torque density during the start-up phase. Note that most of the faults of high-voltage circuit breakers are mechanical faults. We designed a set of mechanical fault prediction systems for high-voltage circuit breakers. We present the prediction method of the opening and closing action curve of the high-voltage circuit breaker. It is inspired by Chaos Ant Colony Algorithm (CAS) and an optimized Long- and Short-Term Memory (LSTM) cycle neural network. We constructed the main structure of the neural network expert system and established the fault prediction model of the high-voltage circuit breaker, based on the LSTM cycle neural network, optimized by CAS. We used the improved least-square method to achieve the operation accuracy of the phase control switch. Finally, we completed the development and experiment of the prototype.

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