| 贾继德，任刚，梅检民，常春.基于变分模态分解和交叉小波变换的柴油机失火故障诊断[J].内燃机工程,2020,41(1):57-63. |
| Fault Diagnosis of Diesel Engine Misfire Based on VMD and XWT |
| DOI：10.13949/j.cnki.nrjgc.2020.01.008 |
| Key Words:variational mode decomposition(VMD） cross wavelet transform(XWT） feature extraction fault diagnosis diesel engine |
| Author Name | Affiliation | | JIA Jide，REN Gang,MEI Jianmin,GHANG Chun | 1.School of Mechanical and Manufacturing Engineering, Xiamen Institute of Technology, Xiamen 361024, China；
2. Automobile NCO School, Amy Military Transportation University， Bengbu 233011, China
3. Projection Equipment Support Department, Army Military Transportation University, Tianjin 300161, China |
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| 摘要点击次数: 3839 |
| 全文下载次数: 2001 |
| Abstract:Aiming at the problem that diesel engine misfire is difficult to diagnose under strong noise interference, a diesel engine misfire fault diagnosis method based on variational mode decomposition(VMD) and cross wavelet transform(XWT) is proposed. Firstly, cylinder head vibration signal is decomposed, denoised and reconstructed by VMD, and then the time-frequency correlation analysis on any two consecutive operating cycle signals is carried out by using XWT to extract the diesel combustion features after eliminating the interference noise in the vibration signal, and finally the diesel engine misfire fault diagnosis is performed by calculating the energy ratio of each cylinder in the time frequency space. Simulation and analysis results show that the method can eliminate the strong noise interference, extract the transient vibration shock features in diesel engine combustion cycle and effectively identify the diesel engine misfire fault. |
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