Fault Identification for Circuit Breakers Based on Vibration Measurements

Yang, Qiuyu; Ruan, Jiangjun; Zhuang, Zhijian; Huang, Daochun

doi:10.1109/tim.2019.2946470

Cited by 35 publications

(13 citation statements)

References 31 publications

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“…Yang et al 21 proposed a fault classification method for 12 kV circuit breakers. The Morphological Correlation Coefficient (MCC) was used to detect faults, and the ensemble empirical mode decomposition Hilbert marginal spectrum energy entropy (EEMD-HMSEE) obtained from vibration data was used to train the SVM for classification.…”

Section: Related Studiesmentioning

confidence: 99%

“…In that case, the more delicate components of the Mel frequency spectral envelope can be represented. Still, the dimensionality of the feature vector increases, so MFCCs with less than 20 dimensions [20][21][22][23] or MFCCs and logarithmic energy are often used. 24 The MFCCs and its time-varying component Delta MFCCs, and also the time-varying component of Delta MFCCs, Delta delta MFCCs, are sometimes used.…”

Section: Compress the Amplitude Spectrum By Applying Amentioning

confidence: 99%

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Fault detection of contactor using acoustic monitoring

Inoue

Stewart

Entezami

2021

Advances in Mechanical Engineering

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Recently, condition monitoring methods using the sound of the machine have attracted attention. Since approaching high voltage equipment increases the risk of electrocuting, non-contact data acquisition is desirable. Most of the research targets of acoustic monitoring are rotating machines and it is not clear whether it is effective for machines that switch between two states, such as contactors and circuit breakers. In this work, several investigations have been carried out on the acoustic condition monitoring of contactor. The Mel-frequency cepstrum coefficients (MFCCs) were obtained from the sound data of the contactors under normal and simulated fault conditions. Support Vector Machine (SVM) was trained with MFCCs and found that it could detect and diagnose contactor faults with high accuracy.

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Section: Related Studiesmentioning

confidence: 99%

Section: Compress the Amplitude Spectrum By Applying Amentioning

confidence: 99%

Fault detection of contactor using acoustic monitoring

Inoue

Stewart

Entezami

2021

Advances in Mechanical Engineering

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show abstract

“…The SVM is being applied for detecting the faulty condition of the circuit breakers (CB) based on historic vibration measurement data 22 . Liu et al proposed a hybrid defect diagnostic model for water quality monitoring devices based on multiclass support vector machines (MSVM) 23 .…”

Section: Introductionmentioning

confidence: 99%

An energy and leakage current monitoring system for abnormality detection in electrical appliances

Alam

Shahjalal

Rahman

et al. 2022

Sci Rep

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Unsafe electrical appliances can be hazardous to humans and can cause electrical fires if not monitored, analyzed, and controlled. The purpose of this study is to monitor the system’s condition, including the electrical properties of the appliances, and to diagnose fault conditions without deploying sensors on individual appliances and analyzing individual sensor data. Using historical data and an acceptable range of normal and leakage currents, we proposed a hybrid model based on multiclass support vector machines (MSVM) integrated with a rule-based classifier (RBC) to determine the changes in leakage currents caused by installed devices at a certain moment. For this, we developed a sensor-based monitoring device with long-range communication to store real-time data in a cloud database. In the modeling process, RBC algorithm is used to diagnose the constructed device fault and overcurrent fault where MSVM is applied for detecting leakage current fault. To conduct an operational field test, the developed device was integrated into some houses. The results demonstrate the effectiveness of the proposed system in terms of electrical safety monitoring and detection. All the collected data were stored in a structured database that could be remotely accessed through the Internet.

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“…There have been different methods proposed in the relevant literature to perform some condition monitoring based on measuring a parameter and analysing the obtained data to assess contacts health, such as vibration analysis and dynamic contact resistance measurement. Under vibration analysis approach, the vibration patterns from operating mechanism recorded during opening/closing operations [11][12][13][14][15], or acoustic signals emitted by arc and main contacts at the instant of contact touch are analysed [16]. To perform dynamic contact resistance measurement, contact resistance of the circuit breaker is measured while the contacts move; this provides some information on the state of the main and arcing contacts [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Online non‐invasive evaluation of arcing time for condition assessment of high‐voltage gas circuit breakers

Mohammadhosein

Niayesh

Akmal

et al. 2021

IET Generation Trans & Dist

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Online non‐invasive methods to assess circuit breaker condition have been under consideration in recent years. The combination of the arcing time and the short‐circuit current recorded by protective relays can be utilized to assess the degrading impact of current interruption on arcing contacts. In many previous investigations, an integral over arcing time of different functions of current and voltage has been proposed to predict the erosion rate of arcing contacts. Although the arcing time is a crucial parameter for these indices, no easily adaptable method to online condition assessment is available. This paper proposes a method for online determination of arcing time based on the measurement of the switching time of the auxiliary contacts. Several experiments have been performed under no‐load conditions as well as during short‐circuit current interruption, on two circuit breakers with different trip coil excitations (AC and DC). The results show that the delay time between the contact separation instant of the arcing contacts and the switching time of the auxiliary contacts has a very low jitter. This enables precise determination of the arcing time by measurement of the switching time of the auxiliary contacts, which is accessible during the online operation of circuit breakers.

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Fault Identification for Circuit Breakers Based on Vibration Measurements

Cited by 35 publications

References 31 publications

Fault detection of contactor using acoustic monitoring

Fault detection of contactor using acoustic monitoring

An energy and leakage current monitoring system for abnormality detection in electrical appliances

Online non‐invasive evaluation of arcing time for condition assessment of high‐voltage gas circuit breakers

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