Knock detection based on the optimized variational mode decomposition

被引:51
作者
Bi Fengrong [1 ]
Li Xin [1 ]
Liu Chunchao [2 ]
Tian Congfeng [2 ]
Ma Teng [1 ]
Yang Xiao [1 ]
机构
[1] Tianjin Univ, State Key Lab Engines, Tianjin 300072, Peoples R China
[2] Shantui Construct Machinery CO LTD, Jining 272000, Peoples R China
关键词
Engine; Fault diagnosis; Knock; Variational Mode Decomposition (VMD); Adaptive decomposition; FAULT-DIAGNOSIS; ENGINES; VMD;
D O I
10.1016/j.measurement.2019.03.042
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In order to extract slight characteristics and achieve exact control of engine knock to improve the overall performance of engine, the optimized Variational Mode Decomposition (VMD) algorithm is introduced to process the vibration signals of engine. Combined with recursive model and energy difference tracking method, the optimized VMD can decompose signals into several modes based on stop criterion instead of artificial values set in advance. Besides, the initial values of center frequencies are also optimized for stability and efficiency. An analog signal is firstly decomposed by this method, and result shows that the optimized VMD has ability to extract components accurately. Then this method is applied for the decomposition of tested engine vibration signals and compared with the Empirical Mode Decomposition (EMD) and traditional VMD, the results show that the optimized VMD can eliminate effect of noise and extract knock at different intensities more accurately and quickly. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 13
页数:13
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