| Feng Kun (冯坤),Qin Qiang,Jiang Zhinong.[J].高技术通讯(英文),2012,18(3):256~262 |
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| Compression techniques of mechanical vibration signals based on optimal sparse representations |
| Revised:June 10, 2010 |
| DOI：10.3772/j.issn.1006-6748.2012.03.007 |
| 中文关键词: |
| 英文关键词: signal compression, mechanical vibration signals, sparse representation, matching pursuit (MP), basis pursuit (BP) |
| 基金项目: |
| Author Name | Affiliation | | Feng Kun (冯坤) | | | Qin Qiang | | | Jiang Zhinong | |
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| 中文摘要: |
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| 英文摘要: |
| This paper presents the result of an experimental study on the compression of mechanical vibration signals. The signals are collected from both rotating and reciprocating machineries by the accelerometers and a data acquisition (DAQ) system. Four optimal sparse representation methods for compression have been considered including the method of frames (MOF), best orthogonal basis (BOB), matching pursuit (MP) and basis pursuit (BP). Furthermore, several indicators including compression ratio (CR), mean square error (MSE), energy retained (ER) and Kurtosis are taken to evaluate the performance of the above methods. Experimental results show that MP outperforms other three methods. |
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