Mechanical Condition Recognition of Medium-Voltage Vacuum Circuit Breaker Based on Mechanism Dynamic Features Simulation and ANN

Rong, Mingzhe; Wang, Xiaohua; Wu, Yang; Jia, Shenli

doi:10.1109/tpwrd.2005.848462

Cited by 31 publications

(6 citation statements)

References 10 publications

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“…Compared with other detection methods, such as chassis vibration analysis [3][4][5] and displacement analysis of driving spindle [6][7], CC method performances better on fault detection. Johal [8] introduced the approach to extract the CC features.…”

Section: Introductionmentioning

confidence: 96%

Novel Feature Set Based on Bayesian Approach for Circuit Breaker Fault Detection

Wang¹,

Li²,

Ma³

et al. 2017

dtcse

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Smart grid is developing rapidly with the promotion of artificial intelligence (AI) technology, and online condition assessment of circuit breaker (CB), as one of the most important facility in power system, is increasingly requested. Owing to most of CB faults can be reflected on its coil current (CC), lots of papers research on the relationship between CC data and CB fault. This paper proposed a new method to get distinctive CC feature set, which achieves better data distinction and has more practical physical meaning. The classification experiments based on the new feature set show that the proposed method can quickly and accurately recognize fault, meanwhile point out the malfunctioning device.

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Section: Introductionmentioning

confidence: 96%

Novel Feature Set Based on Bayesian Approach for Circuit Breaker Fault Detection

Wang¹,

Li²,

Ma³

et al. 2017

dtcse

View full text Add to dashboard Cite

show abstract

“…Condition detection and fault diagnosis are the development trend of CB maintenance [9–11]. All kinds of mechanical and electrical signals in CBs are processed by data mining and feature extraction to obtain the features characterized the CB's mechanical state.…”

Section: Introductionmentioning

confidence: 99%

A Recognition Method for the Coil Plunger Motion Resist Force Based on Coil Current in Vacuum Circuit Breaker

Wang

Ruan

2022

IEEJ Transactions Elec Engng

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Jams in the tripping devices are common faults in circuit breakers, which will lead to the failures in circuit breaker. The resist force of the coil plunger in the tripping device could effectively reveal the jam faults. In this paper, a recognition method for the coil plunger motion resist force based on coil current is proposed. The electromagnetic motion model of the coil is established, and the plunger resist force in VS1‐12 is recognized. According to the recognition result and the moving process of the coil plunger, the fitting formula of the resist force is proposed. The resist force from the coil is 5 N, while the force from the latch is 52 N. Based on the fitting formula, the trip coil current of the circuit breaker is simulated. The result is in good agreement with the test result, which verifies the validity of the fitting formula and the recognition method. The method can be applied to the circuit breaker with spring operating mechanism and effectively extract the resist force from the coil current. This research can provide reference for the condition detection and fault warning of coils in circuit breaker. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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“…However, vibro-acoustic distortions in substation and industrial environment remain the main concern for vibration analysis. Mechanism dynamic features of CB have been used to reveal mechanical failures through different characteristics of the main angle parameter [4]. Furthermore, it has been demonstrated that arcing of CB generates impulsive radio-frequency radiation that can be recorded utilizing digital sampling of the antenna signal.…”

Section: Introductionmentioning

confidence: 99%

A New Algorithm for Detecting Failure to Clear Mode of Circuit Breakers Using Fundamental Frequency Component of Voltage Signals

Feizifar

Müller

Usta

2020

IEEE Trans. Power Delivery

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This paper introduces a new algorithm for the early detection of abnormal arcing conditions of circuit breakers (CBs). Any interruption with a higher arcing time compared to maximum permissible arcing time (MPAT) of CB is defined as a CB failure to clear mode. Measuring CB arcing time is not easy because there is no control on the mechanical opening and closing instants of CB contacts. Nevertheless, there is a correlation between the spectral energy densities of CB arcing voltages and arcing times of CB. This correlation is used by calculating the spectral energy densities of the instantaneous system voltage and the instantaneous CB voltage across its terminals utilizing discrete Fourier transform (DFT) for two periods of the system frequency. The difference between the spectral energy densities at the fundamental frequency is defined as a criterion for identifying a failure to clear mode. Whenever this criterion exceeds a predefined trip level, it indicates the occurrence of a failure to clear mode. In this situation, a trip signal is initiated for adjacent CBs to isolate the faulted CB and the fault. The results obtained from computer simulations and measurements show that the algorithm discriminates between normal and abnormal arcing conditions of CB.

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Mechanical Condition Recognition of Medium-Voltage Vacuum Circuit Breaker Based on Mechanism Dynamic Features Simulation and ANN

Cited by 31 publications

References 10 publications

Novel Feature Set Based on Bayesian Approach for Circuit Breaker Fault Detection

Novel Feature Set Based on Bayesian Approach for Circuit Breaker Fault Detection

A Recognition Method for the Coil Plunger Motion Resist Force Based on Coil Current in Vacuum Circuit Breaker

A New Algorithm for Detecting Failure to Clear Mode of Circuit Breakers Using Fundamental Frequency Component of Voltage Signals

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