期刊文献+

基于2D-HMM旋转机械升速过程的故障诊断方法研究 被引量:1

Research on Faults Diagnosis in Rotor Run-up Process Based on 2D Hidden Markov Model
下载PDF
导出
摘要 旋转机械升速过程具有信息量大、信号非平稳、重复再现性不佳等特点 ,二维隐 Markov模型 ( 2 D-HMM)很适合处理此类信号。将 2 D-HMM引入到旋转机械升速过程的故障诊断中 ,提出了一种基于 2 D-HMM的故障诊断方法 ,描述了该模型的拓扑结构和主要参数以及相应的训练和识别算法。最后通过 There is a large amount non-stationary, worse reappearance signal in the rotor run-up process. 2DHMM is suitable to deal with these signals. So a new fault diagnosis strategy based on 2-dimensional hidden Markov was produced in this paper. The topology of this model and its parameters were introduced too. Finally, the new model was tested with experimental data collected from Bently-Nevada rotor experimental system (Model 24755) and the results demonstrate that it is very effective to diagnose the rotor faults.
出处 《中国机械工程》 EI CAS CSCD 北大核心 2003年第13期1149-1151,共3页 China Mechanical Engineering
基金 国家自然科学基金资助项目(50 0 750 79)
关键词 旋转机械 故障诊断 二维隐Markov模型 状态监测 rotating machinery fault diagnosis 2DHMM(2D hidden Markov Model) condition monitoring
  • 相关文献

参考文献7

  • 1何正嘉,訾艳阳,张周锁,马军星,高强,杨胜军.大型机械设备变工况非平稳动态分析与监测诊断关键技术[J].中国机械工程,1999,10(9):978-981. 被引量:21
  • 2屈梁生,史东锋.全息谱十年:回顾与展望[J].振动.测试与诊断,1998,18(4):235-242. 被引量:33
  • 3Agazzi O E,Kuo S. Pseudo Two-dimensional Hidden Markov Model for Document Recognition. J.of AT&T Technical,1993,72 (5): 60-72. 被引量:1
  • 4Rigoll G,Muller S. Winterstein B. Robust Person Tracking with Non-stationary Background Using a Combined Pseudo 2d- hidden Markov Models and Kalman-filter Approach. IEEE Int. conf. on Image Processing, 1999,4 : 242- 246. 被引量:1
  • 5Otluman H, Aboulnasr T. Low Complexity 2- d Hidden Markov Model for Face Recognition. Proc.ISCAS, 2000,5 : 33 - 36. 被引量:1
  • 6Katrin W, Samy B,Bourlard H,et al. HMM2 a Novel Approach to HMM Emission Probability Estimation. Int. conf. on Spoken Language Processing, Beijing ,China, 2001. 被引量:1
  • 7Bengio S,Bourlard H,Weber K. An EM Algorithm for Hmms with Emission Distributions Represented by Hmms. IDIAP- Research Report ,00-11. Martigny,Switzerland :Dalle Molle Institute for Perceptual Artificial Intelligence, 2000. 被引量:1

二级参考文献8

共引文献49

同被引文献9

  • 1ABOU-MOUSTAFA K T, CHERIET M, SUEN C Y. On the structure of hidden Markov models [ J]. Pattern Recognition Letters, 2004, 25:923-931. 被引量:1
  • 2YE Da-peng. Research on method and application of faults diagnosis in rotating machinery based on 2D hidden Markov model [ D]. Hangzhou : Zhejiang University, 2004. 被引量:1
  • 3VAPNIK V. Statistical learning theory [ M ]. NewYork: JohnWiley and Sons, 1998:102-110. 被引量:1
  • 4HARIHARAN R, VIIKKI O. An integrated study of speaker normalization and HMM adaptation for noise robust speaker-in- dependent speech recognition [ J ]. Speech Communication, 2002,37 ( 3-4 ) : 349-361. 被引量:1
  • 5BENGIO S. Multimodal speech processing using asynchronous hidden Markov models [ J ]. Information Fusion, 2004, 5 (2) : 81-89. 被引量:1
  • 6LEE J M, KIM S J,Yoha Hwang, et al. Diagnosis of mechanical fault signal using continuous hidden Markov model [ J]. Journal of Sound and Vibration. 2004. 276 : 1065-1080. 被引量:1
  • 7BAYDAR N, BALL A. Detection of gear failures via vibration and acoustic signals using wavelet transform[ J]. Mechanical Systems and Signal Processing, 2003, 17(4) : 787-804. 被引量:1
  • 8BAGGENSTOSS P M. A modified Baum-Welch algorithm for hidden Markov models with multiple observation spaces [ C ]//Proceedings of the Acoustics, Speech, and Signal Processing, IEEE, 2000,2 : 717-720. 被引量:1
  • 9NORMANDIN Y, MORGAN S D. An improved MMIE training algorithm for speaker-independent[ C] //Small Vocabulary, Continuous Speech Recognition. ICASSP91,1991:537-540. 被引量:1

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部