High-Voltage Circuit Breaker Fault Diagnosis Using a Hybrid Feature Transformation Approach Based on Random Forest and Stacked Autoencoder
نویسندگان
چکیده
منابع مشابه
High-Voltage Circuit-Breaker Fault Diagnosis Based on Mechanical Vibration Signals
In order to guarantee the operation stability of high-voltage circuit-breaker, this paper extracts eigenvector of vibration signals based on mining of characteristic entropy of the wavelet packet obtained under the state of circuit breaker. Besides, the eigenvector of various fault samples is adopted as the input information of the BP network. After that, the author conducts training of the wel...
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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 (T...
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High voltage circuit breaker is one of the most important switch apparatus in electrical power system. It play a role in the switch control, which can be used to switch the operating mode during normal operation (the equipment run or quit). In order to ensure the normal operation of the grid, it can be removed quickly when a malfunction on the device or circuit. Real-time online monitoring of h...
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ژورنال
عنوان ژورنال: IEEE Transactions on Industrial Electronics
سال: 2019
ISSN: 0278-0046,1557-9948
DOI: 10.1109/tie.2018.2879308