Dissertation
Dissertation > Industrial Technology > Electrotechnical > Electrical > Electrical switches,circuit breakers > Breaker

Research of Online Monitoring Management System for Vacuum Circuit Breaker in Traction Substation

Author LiuTie
Tutor LangBing
School Beijing Jiaotong University
Course Electrical Engineering
Keywords Vacuum circuit breaker Short-time energy Newton interpolate Wavelet denoising method Online monitoring and management system
CLC TM561
Type Master's thesis
Year 2012
Downloads 69
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Vacuum circuit breaker is one of the most important electric accessory in traction power supply control. Circuit Breaker (CB) on-line monitoring plays an important role in the safety operation of the system. This project is entrusted by kunming railway administration for asking Beijingjiaotong university to research and develop the on-line monitoring management system. Through the analysis of the work condition of the circuit breaker, summarizes the operation of the common fault circuit breaker when, determined the key monitoring parameters such as points off average speed, route, closing time and opening time. Use the short-term energy method to analysis vibration signal, combined with Newton’s second law to analysis contacts force and motion accurately determine points off transposed the point. Put forward a new method that when the circuit breaker switches on use the wave front analysis to identify transposed points and when the circuit breaker switches off use the after Wave analysis to identify transposed points. Use Newton interpolation method to deal with trip-time signal, and further deduced the speed calculation by using improvement Newton interpolation formula for moving contact. Based on the above theory analysis and research of the new algorithm, design the realization of hardware and software for on-line monitoring system, and developed a practical man-machine interface. Finally through the offline measurement experiment and on-site validation experiment, fully demonstrated the practicability and reliability of the online monitoring and management system.

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