Circuit-Breaker Automated Failure Tracking Based on Coil Current Signature

Razi-Kazemi, Ali A.; Vakilian, Mehdi; Niayesh, Kaveh; Lehtonen, Matti

doi:10.1109/tpwrd.2013.2276630

Cited by 77 publications

(54 citation statements)

References 21 publications

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“…Such testing has historically been performed through T.C. to verify, analyze, and validate the correct function of CB's operating mechanism [18][19][20][21][22].…”

Section: Travel Curve and Timing Testmentioning

confidence: 99%

See 1 more Smart Citation

Applicability of auxiliary contacts in circuit breaker online condition assessment

Razi-Kazemi

2015

Electric Power Systems Research

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“…Such testing has historically been performed through T.C. to verify, analyze, and validate the correct function of CB's operating mechanism [18][19][20][21][22].…”

Section: Travel Curve and Timing Testmentioning

confidence: 99%

“…and timing test in CB diagnosis [18][19][20][21][22][23][24][25][26][27]. It pinpoints well the importance of the topic under scrutiny.…”

Section: Introductionmentioning

confidence: 99%

Applicability of auxiliary contacts in circuit breaker online condition assessment

Razi-Kazemi

2015

Electric Power Systems Research

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“…Razi-Kazemi et al take six features (points on the waveform) from the coil current and investigate how different failures affect them [69]. They present several example curves and how a failure detection algorithm can work.…”

Section: B Mechanical Operationmentioning

confidence: 99%

A review of methods for condition monitoring, surveys and statistical analyses of disconnectors and circuit breakers

Westerlund

Hilber

Lindquist

et al. 2014

2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

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Abstract-There is a need for a new survey of conditionmonitoring methods for circuit breakers and disconnectors, since during the last two decades less than ten surveys have been carried out. The paper presents several statistical surveys and analyses. The methods of condition monitoring found are reviewed and classified according to the different types of failure identified in the surveys. Some research gaps are identified, such as the prediction of the degradation of the contacts, the signal processing of coil and motor currents and the switching.

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“…Mechanical faults are the main reasons that affect the reliability of HVCBs [1][2][3][4][5]. It is therefore necessary to carry out the research on the diagnosis method of HVCB mechanical faults in order to ensure the safe and stable running of the power system.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Fault Diagnosis of High Voltage Circuit Breakers with Unknown Fault Type Using Hybrid Classifier Based on LMD and Time Segmentation Energy Entropy

Huang

Fang

Cai

et al. 2016

Entropy

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Abstract:In order to improve the identification accuracy of the high voltage circuit breakers' (HVCBs) mechanical fault types without training samples, a novel mechanical fault diagnosis method of HVCBs using a hybrid classifier constructed with Support Vector Data Description (SVDD) and fuzzy c-means (FCM) clustering method based on Local Mean Decomposition (LMD) and time segmentation energy entropy (TSEE) is proposed. Firstly, LMD is used to decompose nonlinear and non-stationary vibration signals of HVCBs into a series of product functions (PFs). Secondly, TSEE is chosen as feature vectors with the superiority of energy entropy and characteristics of time-delay faults of HVCBs. Then, SVDD trained with normal samples is applied to judge mechanical faults of HVCBs. If the mechanical fault is confirmed, the new fault sample and all known fault samples are clustered by FCM with the cluster number of known fault types. Finally, another SVDD trained by the specific fault samples is used to judge whether the fault sample belongs to an unknown type or not. The results of experiments carried on a real SF 6 HVCB validate that the proposed fault-detection method is effective for the known faults with training samples and unknown faults without training samples.

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Circuit-Breaker Automated Failure Tracking Based on Coil Current Signature

Cited by 77 publications

References 21 publications

Applicability of auxiliary contacts in circuit breaker online condition assessment

Applicability of auxiliary contacts in circuit breaker online condition assessment

A review of methods for condition monitoring, surveys and statistical analyses of disconnectors and circuit breakers

Mechanical Fault Diagnosis of High Voltage Circuit Breakers with Unknown Fault Type Using Hybrid Classifier Based on LMD and Time Segmentation Energy Entropy

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