Fault diagnosis approach for diesel engines based on IMS clustering algorithm

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (7) : 193-198.

LI Xiao-bo1JiangZhinong1Zhang Pei1 Qian Di1Xue Jixu1 Zheng Hui1 ZHANG JINjie1

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Abstract

Here, the IMS clustering algorithm was used to study fault diagnosis of diesel engines. Firstly, vibration signal features of a diesel engine were extracted, these features were selected. Finally, an IMS clustering algorithm model was established, the features extracted from fault data were taken as the model’s input parameters to realize diesel engine faults’ intelligent diagnosis. Test study was performed on a V6 turbocharged diesel engine to get data for both training purposes and verifying the IMS clustering algorithm model. Through verification of data, it was shown that judgements of the model for faults are correct. The study provided a new detecting way for fault diagnosis of diesel engines.

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IMS clustering algorithm / diesel engine / fault diagnosis / feature extraction

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LI Xiao-bo1JiangZhinong1Zhang Pei1 Qian Di1Xue Jixu1 Zheng Hui1 ZHANG Jinjie1. Fault diagnosis approach for diesel engines based on IMS clustering algorithm[J]. Journal of Vibration and Shock, 2018, 37(7): 193-198

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