Fault diagnosis for high voltage circuit breaker based on timing parameters and FCM
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...
متن کاملOn-line Monitoring System based on Vibration Signal of High Voltage Circuit Breaker
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...
متن کاملFault Diagnosis Method of HV Circuit Breaker Based on Wavelets Neural Network
Fault diagnosis of HV circuit break has been investigated extensively as an important device in the field of power system. In view of the shortcoming of the traditional neural network, such as the slow convergence rate and the local minimum easy to form, fault diagnosis method of HV circuit breaker is proposed to remedy the defects of traditional neural network based on wavelets neural. This me...
متن کاملFault Diagnosis of Wind Turbine Based on ELMD and FCM
In view of failure characteristics of wind turbine gear box, this paper puts forward a method for fault diagnosis based on the ensemble local means decomposition (ELMD) and fuzzy C-means clustering (FCM) method. Resolve the vibration signal of different fault state of high speed gear box by ELMD to obtain the PF component, and obtain its singular value, which is composed of known sample and tes...
متن کاملA New Fault Diagnosis Method for High Voltage Circuit Breakers Based on Wavelet Packet and Radical Basis Function Neural Network
A new method that researching fault diagnosis of high-voltage (HV) circuit breaker (CB) is proposed. The method combines Wavelet Packet (WP) with Radical Basis Function (RBF) Neural Network (NN). Firstly, by applying the theory of WP decomposition and reconstruction, the mechanical vibration signal of CB was decomposed into different frequency bands, and the coefficients are reconstructed in th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Electronics Express
سال: 2018
ISSN: 1349-2543
DOI: 10.1587/elex.15.20180227