1. A Novel Fault Diagnosis Method for Diesel Engine Based on MVMD and Band Energy
- Author
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Xin-Yong Qiao, Ying Jin, Liu Yanbin, and Gu Cheng
- Subjects
Article Subject ,Computer science ,QC1-999 ,02 engineering and technology ,Fault (power engineering) ,Diesel engine ,01 natural sciences ,Signal ,Automotive engineering ,Cylinder (engine) ,law.invention ,law ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,010301 acoustics ,Civil and Structural Engineering ,Physics ,Mechanical Engineering ,020206 networking & telecommunications ,Geotechnical Engineering and Engineering Geology ,Condensed Matter Physics ,Support vector machine ,Vibration ,Modal ,Mechanics of Materials ,Energy (signal processing) - Abstract
Vibration signal, as an important means for diesel engine condition detection and fault diagnosis, has attracted attention for many years. In traditional vibration signal analysis, most processing methods are for single-channel data. However, single-channel vibration signal cannot reflect the operating information of the diesel engine comprehensively because diesel engine vibration is coupled by multiple source signals. This paper proposes the MVMD band energy method for fault diagnosis by four channels of vibration signals. First, the original multivariate signals are decomposed adaptively by MVMD, which obtains a series of components with modal alignment. Then, the band energy values of each measuring point are calculated as the fault characteristics. Finally, SVM is used to realize the diagnosis and identification of diesel engine misfire. The working conditions have a great influence on the vibration signal of the cylinder. In order to obtain the best diagnostic working conditions, six working conditions are set for testing. The result shows that the fault identification rate is highest under the 1500 rpm and 50% load working condition. The fault recognition rate of this method reaches more than 99%, which is superior to the other four common methods.
- Published
- 2020