Mechanical Defect Detection of SF6 High Voltage Circuit Breaker Using Wavelet Based Vibration Signal Analysis

Charbkeaw, N.; Suwanasri, Thanapong; Bunyagul, T.

doi:10.1109/ecticon.2008.4600576

Cited by 12 publications

(9 citation statements)

References 3 publications

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“…In this step, the likelihood of modes in k th observation has been calculated based on normal distributions and conditional probabilities using eqs. (8) to (11).…”

Section: Ii) Mode-matched Filteringmentioning

confidence: 99%

“…Various maintenance strategies have been conducted by utilities for CBs to extend their lifetime and to avoid the failures [1]- [4]. As international surveys report, 50% to 52% of the major failures are of a mechanical origin [3]- [8], most researches have assessed the condition of CBs through operating mechanism based on various signals such as coil current, vibration and travel curve (TC). The formers are an indirect real-time method, while the TC is a direct method depending on the type of breakers could be applied online or offline.…”

Section: Introductionmentioning

confidence: 99%

“…However, this paper could not provide a link between failures and signals. In [8]- [11], mechanical diagnosis is established based on the recorded vibration signals for SF6 CBs using wavelet and vector-machine theory for diagnosing mechanical characteristic fault. Reference [12] addresses the correlation between TC and auxiliary contact to assess the condition of CBs.…”

Section: Introductionmentioning

confidence: 99%

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A Probabilistic Model-Aided Failure Prediction Approach for Spring-Type Operating Mechanism of High-Voltage Circuit Breakers

Razi-Kazemi

Niayesh

Nilchi

2019

IEEE Trans. Power Delivery

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In order to avoid failures in circuit breakers (CBs) and to extend the lifetime of these critical components, conditionbased-maintenance has been increasingly requested by utilities to enable them to efficiently manage their assets. The origin of the most failures in CBs is the operating mechanism. Travel curve (TC) could effectively reveal the condition of the operating mechanism. However, the measurement of a TC profile is not simple in all CBs. This paper presents the impacts of common failure modes of CBs on TC profiles, and proposes a new modelaided approach to simulate the behavior of the operating mechanism with coupling the model-based and rule-based approaches. The simulation results along with experiments conducted on 72.5 kV SF6 CBs are organized into a fuzzyprobabilistic approach through maximum likelihood and interacting multiple models (IMM) to precisely predict the condition of CB and to detect intelligently the cause of the failure. For this purpose, the CB condition has been categorized into three modes based on its operating speed: normal (about 3 m/s), faulty #1 (less than normal range) and faulty #2 (more than normal rang). The mode variations of the CB have been estimated via IMM in each operation. The proposed approach in prediction of the failures and cause(s) prior to their occurrence has been verified against experiments.

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“…In this step, the likelihood of modes in k th observation has been calculated based on normal distributions and conditional probabilities using eqs. (8) to (11).…”

Section: Ii) Mode-matched Filteringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Probabilistic Model-Aided Failure Prediction Approach for Spring-Type Operating Mechanism of High-Voltage Circuit Breakers

Razi-Kazemi

Niayesh

Nilchi

2019

IEEE Trans. Power Delivery

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“…Varios autores muestran otras pruebas que se realizan indistintamente según los tipos de interruptores y de acuerdo con la existencia física de instrumentos de última tecnología, ello se puede consultar más detalladamente en las siguientes referencias [9,[14][15].…”

Section: Aspectos Teóricos De La Toma De Decisiones Para El Mantenimiunclassified

Gestión del mantenimiento a interruptores de potencia. Estado del arte

Torné

Choy

Serpa

2018

Ingeniare. Rev. chil. ing.

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RESUMENEn el presente trabajo se realiza una revisión bibliográfica de la gestión del mantenimiento enfocado a la confiabilidad y a las fallas en interruptores de potencia. Se valoran los posibles parámetros a utilizar en la gestión del mantenimiento de acuerdo con los estudios internacionales, a las normas y procedimientos de operación vigentes en las subestaciones eléctricas en Cuba, así como a la existencia real de equipos de medición en las mismas. Los posibles parámetros se desglosan en pruebas de funcionamiento, revisiones visuales y en la confiabilidad operacional. Finalmente se propone como herramienta fundamental la inteligencia artificial para la toma de decisiones en la gestión del mantenimiento de acuerdo a la integración de las diferentes variables.Palabras clave: Confiabilidad, fallas, inteligencia artificial, interruptores de potencia, mantenimiento. ABSTRACT

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“…6) Mechanical vibration signal. The signal includes a number of circuit breaker operation status and internal mechanical structure information [5] .…”

Section: Main Variables Monitoredbythe Systemmentioning

confidence: 99%

A Multi-Layer Distributed Comprehensive On-line Monitoring System for GIS

Geng¹,

Chai²,

Zuo³

et al. 2016

Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

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Gas Insulated Switchgear (GIS), as important equipment of power system, providesprimaryguarantee for its security and stability. Therefore it is significant to monitor the operating statusand working performance of GIS. In this paper, acomprehensive online monitoring system of GISwith amulti-layer distributed structure is proposed.The design realizes the monitoring of many important parameters of GIS, including the temperature of gas, the pressure of gas, operating status, three-phase mechanical properties, the characteristics of control loop, etc. The system has lots of functions such as the collectionof data, the storage and management of data, the calculation of parametersand remote communication. Field experimentsverify that the system is accurate and effective enough to meet the requirements of online monitoring.

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Mechanical Defect Detection of SF6 High Voltage Circuit Breaker Using Wavelet Based Vibration Signal Analysis

Cited by 12 publications

References 3 publications

A Probabilistic Model-Aided Failure Prediction Approach for Spring-Type Operating Mechanism of High-Voltage Circuit Breakers

A Probabilistic Model-Aided Failure Prediction Approach for Spring-Type Operating Mechanism of High-Voltage Circuit Breakers

Gestión del mantenimiento a interruptores de potencia. Estado del arte

A Multi-Layer Distributed Comprehensive On-line Monitoring System for GIS

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