復雜性測度分析在電力電子電路故障預測中的應用

吳為麟; 朱寧

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復雜性測度分析在電力電子電路故障預測中的應用

吳為麟, 朱寧

文章導航 > 電子與信息學報 > 2003 > 25(5): 677-682

吳為麟, 朱寧. 復雜性測度分析在電力電子電路故障預測中的應用[J]. 電子與信息學報, 2003, 25(5): 677-682.

引用本文:

吳為麟, 朱寧. 復雜性測度分析在電力電子電路故障預測中的應用[J]. 電子與信息學報, 2003, 25(5): 677-682.

Wu Weilin, Zhu Ning . The application of complexity measure analysis to fault prediction in power electronic circuit[J]. Journal of Electronics & Information Technology, 2003, 25(5): 677-682.

Citation:

Wu Weilin, Zhu Ning . The application of complexity measure analysis to fault prediction in power electronic circuit[J]. Journal of Electronics & Information Technology, 2003, 25(5): 677-682.

吳為麟, 朱寧. 復雜性測度分析在電力電子電路故障預測中的應用[J]. 電子與信息學報, 2003, 25(5): 677-682.

引用本文:

吳為麟, 朱寧. 復雜性測度分析在電力電子電路故障預測中的應用[J]. 電子與信息學報, 2003, 25(5): 677-682.

Wu Weilin, Zhu Ning . The application of complexity measure analysis to fault prediction in power electronic circuit[J]. Journal of Electronics & Information Technology, 2003, 25(5): 677-682.

Citation:

Wu Weilin, Zhu Ning . The application of complexity measure analysis to fault prediction in power electronic circuit[J]. Journal of Electronics & Information Technology, 2003, 25(5): 677-682.

復雜性測度分析在電力電子電路故障預測中的應用

吳為麟,
朱寧

計量
- 文章訪問數(shù): 2055
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2001-11-19
- 修回日期: 2002-07-24
- 刊出日期: 2003-05-19

The application of complexity measure analysis to fault prediction in power electronic circuit

Wu Weilin,
Zhu Ning

摘要

摘要: 在高電壓、大電流高頻電路的情況下,對電路檢測和監(jiān)視有一定的困難。作者引入了一種新的復雜性分析的方法,利用綜合性信號監(jiān)測電路故障狀態(tài)。與傳統(tǒng)的方法相比,該方法具有快速、簡便、經(jīng)濟、安全、非破壞性等優(yōu)點,可作為電路系統(tǒng)可靠性預測的手段。
- 復雜性; 混沌; 電力電子電路故障預測
Abstract: In the condition of high-voltage, heavy-current and high-frequency electric circuit, there is a certain difficult to inspect and supervise the electric circuit. On introducing a new method of complexity measure analysis, the authors manage to inspect the circuit fault status by analyzing synthetic signal. Compared with the traditional method, the present method has the advantages of high speed, easy operation, less expenses, safety, no destruction, etc. and can be used as a reliability predicting measure for electric circuit system.

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參考文獻(1)

R. Wackerbauer, et al., A comparative classification of complexity measures, Chaos.[J]. Solitons Fractals.1994,4(1):133-[2]徐京華,童勤業(yè),大腦皮層信息結構和精神分裂癥,生物物理學報,1996,12(1),103-108. ［3］M. di Bernardo, Franco Garofalo, Luigi Glielmo, Switchings, bifurcations, and chaos in dc-dc converters, IEEE Trans. on Circuits Syst. I, 1998, 45(2), 133-141.[3]E. Fossas, G. Olivar, Study of chaos in the buck converter, IEEE Trans. on Circuits Syst. I, 1996,43(1), 13-25.[4]J.H.B. Deane, D. C. Hamill, Analysis, simulation and experimental study of chaos in the Buck converter, Proc. IEEE. PESC, San Autonio, Texas, 1990, 491-498.[5]J.H.B. Deane, D. C. Hamill, Chaotic behavior in current-mode controlled dc-dc converter,Electron. Lett., 1991, 27(13), 1172-1173.[6]D.C. Hamill, J. H. B. Deane, Modeling of chaotic DC-DC converters by iterated nonlinear mappings, IEEE Trans. on Power Electron., 1992, 7(1), 25-36 .[7]C.J. Budd, A. G. Lee, Double impact orbits of a single-degree-of-freedom impact oscillators subject to periodic forcing of odd frequency, Proc. Royal Soc. of London Ser. A-Mathematical,Physical and Engineering Science, 1996, 452(1955), 2719-2750.[8]A. Lempel, J. Ziv, On the complexity of finite sequences, IEEE Trans. on Information Theory,1976, IT-22(1), 75-81.[9]F. Kaspar, H. G. Schuster, Easily calculable measure for the complexity of spatiotemporal patterns, Phsy. Rev. A, 1987, 36(2), 842-848.

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