| 基于DHMM的航空发动机故障诊断方法研究 |
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| 引用本文： | 吴双,杨海成,常智勇,莫蓉.基于DHMM的航空发动机故障诊断方法研究[J].微处理机,2011,32(1):75-79. |
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| 作者姓名： | 吴双 杨海成 常智勇 莫蓉 |
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| 作者单位： | 西北工业大学现代设计与集成制造技术教育部重点实验室,西安,710072 |
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| 摘 要： | 在航空发动机的各式故障中,由振动引发的故障占有很大的比重。航空发动机的振动信号中蕴藏了大量的状态及故障信息,因此有必要寻找一种有效的特征提取和故障诊断方法。基于ICA和DHMM的理论方法,形成了ICA-DHMM故障诊断方法。其中ICA用于源信号分离以及特征提取;DHMM作为模式识别工具。通过与ICA-SVM故障诊断方法和传统的DHMM故障诊断方法进行比较,表明本方法有更好的识别效果。
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| 关 键 词： | 航空发动机 故障诊断 特征提取 模式识别 |
Research on Fault Recognition of Aero-engine base on Discrete Hidden Markov Model |
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| WU Shuang,YANG Hai-cheng,CHANG Zhi-yong,MO Rong.Research on Fault Recognition of Aero-engine base on Discrete Hidden Markov Model[J].Microprocessors,2011,32(1):75-79. |
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| Authors: | WU Shuang YANG Hai-cheng CHANG Zhi-yong MO Rong |
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| Affiliation: | WU Shuang,YANG Hai-cheng,CHANG Zhi-yong,MO Rong(Ministry of Education Key Lab of Contemporary Designing & Integrated Manufacturing Technology,Northwestern Polytechnic University,Xi'an 710072,China) |
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| Abstract: | Faults caused by engine vibration account for a large proportion in various faults of aero-engine.The mixed vibration signals of aero-engine contain abundant running information,it is necessary to seek for an efficient way for feature extraction and fault diagnosis.In this paper, a fault diagnosis approach ICA-DHMM is proposed.Independent component analysis(ICA) is used first for extracting feature and then discrete hidden Markov model(DHMM) is used as pattern recognition.Comparing with other fault diagnosi... |
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| Keywords: | Aero-engine Fault diagnosis Feature extraction Pattern recognition |
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