Contact Force Monitoring and Its Application in Vacuum Circuit Breakers

Condition monitoring of circuit-breaker (CB) operating mechanisms is one the most important aspects of predictive maintenance. This paper proposes a contact force monitoring scheme for 10 $\sim$ 35-kV vacuum CB. With specially designed force sensors and a signal-processing method, we can accurately find the instants of contact touch and separation. With the indirectly measured contact touch-and-separation instants, we can measure the opening speed, closing speed, and open gap over the travel of each phase. The accuracy of our online monitoring scheme is compared with the conventional offline methods that can directly obtain the instants of contact touch and separation by measuring the connectivity of the contacts. The results show that the accuracy of the scheme proposed in this paper is satisfactory and it can meet the engineering requirements of online condition monitoring of CBs. By introducing a set of new force sensors, some additional information that is useful for overall condition assessment of CB operating mechanism can also be extracted; this will help us to find new ways to improve our CB condition monitoring systems.

[1]  Cui Jin.  Operating Analysis of High Voltage Circuit Breaker in 1999 -2003 , 2005 .

[2]  B. F. Hampton,et al.  Dielectric windows for UHF partial discharge detection , 2001 .

[3]  M. Kezunovic,et al.  AUTOMATED ANALYSIS OF CIRCUIT BREAKER OPERATIONS , 2003 .

[4]  Stéphane Mallat,et al.  Singularity detection and processing with wavelets , 1992, IEEE Trans. Inf. Theory.

[5]  D. Konig,et al.  Electrical methods for verifying internal pressure of vacuum interrupters after long-time service , 1993 .

[6]  G. J. Paoletti,et al.  Partial discharge theory and technologies related to medium-voltage electrical equipment , 2001 .

[7]  B. Skyberg,et al.  Vibration Analysis for Diagnostic Testing of Circuit Breakers , 1996 .

[8]  Alexander V. Babanin,et al.  Using wavelet spectrum analysis to resolve breaking events in the wind wave time series , 2004 .

[9]  Stéphane Mallat,et al.  Characterization of Signals from Multiscale Edges , 2011, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  M. Kezunovic,et al.  Automated monitoring and analysis of circuit breaker operation , 2005, IEEE Transactions on Power Delivery.

[11]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  T. T. Soong,et al.  Mechanical failure detection of circuit breakers , 1988 .

[13]  Duan Xianzhong,et al.  A practical circuit breaker monitoring system , 2005, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..

[14]  G. F. Montillet,et al.  Design objectives of new digital control and monitoring of high voltage circuit breakers , 2001, 2001 IEEE/PES Transmission and Distribution Conference and Exposition. Developing New Perspectives (Cat. No.01CH37294).