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Journal ArticleDOI

Acoustic diagnosis of high voltage circuit-breakers

TLDR
In this paper, a noninvasive technique for assessing the condition of circuit breakers by considering the acoustic signals generated during nonenergized switching is described, which can be detected as changes in this acoustic signature.
Abstract
A noninvasive technique for assessing the condition of circuit breakers by considering the acoustic signals generated during nonenergized switching is described. Mechanical malfunction, wear, and other types of abnormal behavior can be detected as changes in this acoustic signature. Digital signal processing techniques known from speech recognition were successfully applied to extract, compare, and present the information from the breaker signatures. A fault in the release mechanism which developed over time and eventually rendered one pole of a circuit-breaker inoperative was detected in an early stage, demonstrating the efficiency of this diagnostic technique. >

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Citations
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Journal ArticleDOI

Prospects for Fibre Bragg Gratings and Fabry-Perot Interferometers in fibre-optic vibration sensing

TL;DR: In this article, the authors present an overview of optical fiber-optic intensity-based measurement and Fabry-Perot Interferometer (FPI) for vibration sensing.
Journal ArticleDOI

An Adaptive Approach Based on KPCA and SVM for Real-Time Fault Diagnosis of HVCBs

TL;DR: A novel approach based on an adaptive kernel principal component analysis (KPCA) and support vector machine (SVM) is proposed for real-time fault diagnosis of HVCBs, and the experimental results show that the proposed approach is capable of detecting and recognizing the faults efficiently.
Journal ArticleDOI

New fault diagnosis of circuit breakers

TL;DR: Wavelet packets and neural networks have been used to analyze the vibration data of circuit breakers for the detection of incipient circuit breaker faults and accuracy is shown to be far better than other classical techniques such as the windowed Fourier transform, stand alone artificial neural networks or expert system.
Journal ArticleDOI

Vibration Analysis for Diagnostic Testing of Circuit Breakers

TL;DR: In this article, the feasibility of vibration analysis for the diagnostic testing of high-voltage circuit breakers is assessed, and a comprehensive field test program has been carried out, where the breakers were assumed to be in good condition with no known irregularities at the time of testing, but several serious faults, including an incipient rupture of the contact plug shaft, an incorrectly assembled crank, and major lubrication problems were disclosed.
Journal ArticleDOI

An Improved Vibration Analysis Algorithm as a Diagnostic Tool for Detecting Mechanical Anomalies on Power Circuit Breakers

TL;DR: In this article, the successful application of vibration analysis for circuit-breaker (CB) diagnostic testing with the aim of detecting mechanical anomalies in CB drive mechanisms and other moving parts in the interrupting chamber is discussed.
References
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Journal ArticleDOI

Mechanical failure detection of circuit breakers

TL;DR: In this article, the mechanical condition of a circuit breaker was evaluated using noninvasive diagnostics, together with signal processing and decision-making techniques using transducers placed along the external surfaces of (and, under certain conditions, within the interior of) the circuit breaker.
Journal ArticleDOI

Measurements for noninvasive mechanical diagnostics of power circuit breakers

TL;DR: In this article, the authors have developed techniques for assessing the mechanical condition of deenergized power circuit breakers based on noninvasive acceleration measurements during trip and close operations, and the most critical aspects of the measurement methods, transducer location and attachment, as well as circuit breaker vibrational response and signature repeatability are addressed.
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