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Feature Extraction and Diagnosis System Using Virtual Instrument Based on CI 被引量:1

Feature Extraction and Diagnosis System Using Virtual Instrument Based on CI
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摘要 Through investigating intelligent diagnosis method of Computational Intelligence (CI) and studying its application in fault feature extraction, a gear fault detection and Virtual Instrument Diagnostic System is developed by using the two hybrid programming method which combines both advantages of VC++ and MATLAB. The interface is designed by VC++ and the calculation of test data, signal processing and graphical display are completed by MATLAB. The pro-gram converted from M-file to VC++ is completed by interface software, and a various multi-functional gear fault di-agnosis software system is successfully obtained. The software system, which has many functions including the intro-duction of gear vibration signals, signal processing, graphical display, fault detection and diagnosis, monitoring and so on, especially, the ability of diagnosing gear faults. The method has an important application in the field of mechanical fault diagnosis. Through investigating intelligent diagnosis method of Computational Intelligence (CI) and studying its application in fault feature extraction, a gear fault detection and Virtual Instrument Diagnostic System is developed by using the two hybrid programming method which combines both advantages of VC++ and MATLAB. The interface is designed by VC++ and the calculation of test data, signal processing and graphical display are completed by MATLAB. The pro-gram converted from M-file to VC++ is completed by interface software, and a various multi-functional gear fault di-agnosis software system is successfully obtained. The software system, which has many functions including the intro-duction of gear vibration signals, signal processing, graphical display, fault detection and diagnosis, monitoring and so on, especially, the ability of diagnosing gear faults. The method has an important application in the field of mechanical fault diagnosis.
机构地区 不详
出处 《Journal of Software Engineering and Applications》 2010年第2期177-184,共8页 软件工程与应用(英文)
关键词 Virtual Instrument (VI) COMPUTATIONAL INTELLIGENCE (CI) FAULT Diagnosis Feature Extraction GEAR System Virtual Instrument (VI) Computational Intelligence (CI) Fault Diagnosis Feature Extraction Gear System
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  • 1乌云高娃.基于VB.Net的电力故障离线分析系统的设计[J].计算机工程与设计,2004,25(5):723-726. 被引量:3
  • 2全玉生,李平,张煜,邱庆春,焦邵麟.基于微分方程的单端故障测距新算法[J].电网技术,2004,28(21):47-50. 被引量:15
  • 3杨文献,姜节胜.基于数据挖掘的柴油机气门故障诊断技术研究[J].机械工程学报,2004,40(10):25-29. 被引量:11
  • 4吴必信,王玉秋.综述单端故障测距算法(二)[J].电力自动化设备,1995,15(4):23-25. 被引量:10
  • 5KIESSLING G,SCHWABE S.Software solution for fault record analysis in power transmission and distribution[C]//The Eighth IEE International Conference on Developments in Power System Protection.[ S.1.]:IEE Press,2004:47-49.
  • 6SAKIS M A P,COKKINIDES G J.Visualization and animation of protective relay operation[C ]//Digital Object Identifier.[S.1.]:IEEE,2002:1410-1414.
  • 7LIN D, WISEMAN M, BANJEVIC D, et al. An approach to signal processing and condition-based maintenance for gearboxes subject to tooth failure[J]. Mechanical Systems and Signal Processing, 2004, 18(5): 993-1 007.
  • 8KAR C, MOHANT A R. Multistage gearbox condition monitoring using motor current signature analysis and Kolmogorov-Smimov test[J]. Journal of Sound and Vibration, 2006, 290(1-2): 337-368.
  • 9VANIA A, PENNACCHI R Experimental and theoretical application of fault identification measures of accuracy in rotating machine diagnostics[J]. Mechanical Systems and Signal Processing, 2004, 18(6): 329-352.
  • 10DALPIAZ G, RIVOLA A, RUBINI R. Effectiveness and sensitivity of vibration processing techniques for local fault detection in gears[J]. Mechanical System and Signal Processing, 2000, 14(3): 387-412.

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