An expert system for acoustic diagnosis of power circuit breakers and on-load tap changers

Hussain, Akhtar; Lee, Seung-Jae; Choi, Myeon-Song; Brikci, F.

doi:10.1016/j.eswa.2015.07.079

Cited by 46 publications

(18 citation statements)

References 24 publications

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“…As stated before, Eqs. (5) and (6) prove that the arcing power of the CB only exists during arcing conditions.…”

Section: Power-based Algorithm For Failure Detection Of Circuit Breakersmentioning

confidence: 98%

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A new failure protection algorithm for circuit breakers using the power loss ofswitching arc incidents

Feizifar¹,

Usta²

2019

Turk J Elec Eng & Comp Sci

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The principal function of circuit breakers (CBs) is to isolate a portion of the power network from the rest of it in a timely manner following an opening command. Any failure in the opening operation of CBs, especially following a fault condition, will almost certainly result in a catastrophic event. Therefore, the issue of failure detection of CBs is essential and has a vital role in power system protection. This paper presents a novel power-based algorithm for failure detection of CBs. The power loss of CBs due to an arcing event increases as the arcing time gets longer. The arcing time of CBs increases with defective operations originating from any failure or malfunction for different reasons. The proposed method uses the power difference between the input and output terminals of CBs to calculate the power loss due to an arcing event, which can then be used to estimate the arcing energy. A trip signal is initiated whenever the estimated arcing energy for a single opening operation reaches a predefined trip level, which shows a failure in CB operation. This predefined trip value is related to the integration of the maximum power capacity of the CB during an opening operation time. Computer simulation studies conducted to analyze the performance of the proposed technique demonstrate that the algorithm is capable of discriminating between normal and abnormal arcing energies and thus identifying malfunctions or failures in the opening operations of CBs.

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“…As stated before, Eqs. (5) and (6) prove that the arcing power of the CB only exists during arcing conditions.…”

Section: Power-based Algorithm For Failure Detection Of Circuit Breakersmentioning

confidence: 98%

“…Furthermore, an expert system has also been applied for failure detection of CBs using acoustic signals. In this regard, the decomposition of voiced and feature extraction of acoustic signals has been performed in the time domain [6].…”

Section: Introductionmentioning

confidence: 99%

A new failure protection algorithm for circuit breakers using the power loss ofswitching arc incidents

Feizifar¹,

Usta²

2019

Turk J Elec Eng & Comp Sci

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“…But this identification method couldn't represent the mechanism of the fault phenomenon for the circuit breaker, because this fault property is often a kind of nonlinearity characteristic. Therefore, some innovative ways were presented in present years, an Expert System (ES) with the addition of a signal processor module and factual database module to the conventional ES has been proposed for the diagnosis of CBs and OLTCs [6]. A Least Squares Support Vector Machines (LS-SVM) based CB maintenance scheduling optimization approach that considers constraint of cost effect was proposed [7].…”

Section: Introductionmentioning

confidence: 99%

Dynamical model of a fault phenomenon and reliability analysis for a circuit breaker in a vibration environment

Pan¹,

Zhang²

2019

Vib. proced.

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A circuit breaker often has a fault phenomenon in an electrical circuit, for example, its two contacts are kept away under a vibration environment. This will cause its electrical system not work normally. In the paper, a dynamical model is proposed for the circuit breaker applied with a low voltage under a vibration disturbance when the circuit breaker system is simplified as a cart-inverted pendulum system. Through some mechanical analyses, the nonlinear property of the circuit breaker is studied, and the fault phenomenon of the breaker in the vibration environment is described. With some simulations and experiments, the theoretical model is verified effectively when the circuit break is viewed as a switch in the electric system. Furthermore, the minimum amplitudes of a sinusoidal acceleration applied on the system to make the breaker have a fault phenomenon in the simulations are in good agreement with that in the experiments. Therefore, the dynamical model for representing the fault property of the circuit breaker is demonstrated feasibly with simulations and experiments.

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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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An expert system for acoustic diagnosis of power circuit breakers and on-load tap changers

Cited by 46 publications

References 24 publications

A new failure protection algorithm for circuit breakers using the power loss ofswitching arc incidents

A new failure protection algorithm for circuit breakers using the power loss ofswitching arc incidents

Dynamical model of a fault phenomenon and reliability analysis for a circuit breaker in a vibration environment

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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