Source analysis of diesel engine vibration based on adaptive generalized linear mixed model

被引：0
|
作者：
Xiao B. [1 ]
Shi L. [1 ]
Cao Y. [2 ]
Shi S. [1 ]
Gao C. [1 ]
机构：
[1] School of Energy and Power Engineering, Northeast Electric Power University, Jilin
[2] College of Power and Energy Engineering, Harbin Engineering University, Harbin
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2019年 / 40卷 / 12期
关键词：
Adaptive filtering algorithm; Generalized linear mixed model; Signal separation; Transfer path decoupling; Vibration of diesel engine; Vibration source identification;
D O I：
10.11990/jheu.201808085
中图分类号：
学科分类号：
摘要：
For vibration of a diesel engine that is multi-source correlated and a multi-path coupled system, identification of its noise source is investigated based on vibration signal processing in this paper. In the diesel multi-path coupled vibration system, the generalized linear mixed model (GLMM) was established considering a diesel engine excited by several sources and featuring a comb-like line spectrum that is composed of fundamental and harmonic frequencies. Therewith, an algorithm of vibration noise source identification is presented based on adaptive filter. By employing the adaptive GLMM algorithm proposed in this paper, the numerical simulation of the source identification of MISO mode vibration was carried out to verify the proposed algorithm. Then, by implementing the vibration test of several V16 high-speed diesel engines, its feature line spectrum was yielded, and the feature spectrum that is uncorrelated to the noise of diesel engine was separated, thus realizing the excitation source analysis of diesel engine. This paper yields a new idea for vibration source analysis of diesel engine, which is a multi-source correlated and multi-path coupled system. © 2019, Editorial Department of Journal of HEU. All right reserved.
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页码：2029 / 2035
页数：6
相关论文
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