| 刘健康，高文志，张攀，宋启新.基于改进段角加速度和神经网络的柴油机失火诊断研究[J].内燃机工程,2019,40(1):79-85. |
| Diagnosis of Misfire Fault of Diesel Engines Based on Segment Angular Acceleration and Neural Network |
| DOI：10.13949/j.cnki.nrjgc.2019.01.012 |
| Key Words:segment angular acceleration diesel engine diagnosis of misfire fault neural network |
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| 摘要点击次数: 3891 |
| 全文下载次数: 1994 |
| Abstract:This paper focus on the diagnosis problem of the misfire and the misfire degree caused at high speed and low loads, compare and analyse the transient speed characteristics under normal and misfire conditions, and find it can effectively improve characteristics sensitivity of engine misfire by shortening the segment length of angular acceleration speed. According to the analysis on the misfire fault diagnosis, it is found that the threshold value method is replaced with the neural network method can effectively diagnose the misfire by employing the relationship between different cylinder characteristic value. Based on the above, a improved misfire diagnosis method of combination of improved segment angular acceleration with the neural network is proposed finally. This method can carry out accurate single cylinder misfire diagnosis over the full speed range, and can determine the misfire degree effectively with the second level diagnosis. And the new approach has a good accuracy rate of misfire fault diagnosis. Meanwhile, it requires less data in the network learning phase and is easy to grasp, which is suitable for on-line diagnosis of engine misfire faults. |
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