![](/images/graphics-bg.png)
Separation Method of Impulsive Fault Component for Gasoline Engine Based on Acoustic Signal Analysis
Joint Authors
Dayong, Ning
Yuhua, Jiang
Hongyu, Sun
Zengmeng, Zhang
Yongjun, Gong
Shengtao, Chen
Jiaoyi, Hou
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-02
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper presents a developed dislocation superimposed method (DSM) for automatically extracting the component of impulsive signals from abnormal noise signals of an engine at a single speed range on the basis of the initial DSM.
This method consists of three steps: using a correlation analysis to select an appropriate starting superposition point, superimposing abnormal sound signals to improve the signal-to-noise ratio, and intercepting superimposed signals to separate the fault component.
Experimental results show that the developed DSM can effectively extract the fault characteristics of cylinder knocking and connecting rod bearing knocking.
The developed approach can be applied to separate the fault characteristics of other types of rotating machines.
American Psychological Association (APA)
Dayong, Ning& Yuhua, Jiang& Hongyu, Sun& Zengmeng, Zhang& Yongjun, Gong& Shengtao, Chen…[et al.]. 2019. Separation Method of Impulsive Fault Component for Gasoline Engine Based on Acoustic Signal Analysis. Shock and Vibration،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1211624
Modern Language Association (MLA)
Dayong, Ning…[et al.]. Separation Method of Impulsive Fault Component for Gasoline Engine Based on Acoustic Signal Analysis. Shock and Vibration No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1211624
American Medical Association (AMA)
Dayong, Ning& Yuhua, Jiang& Hongyu, Sun& Zengmeng, Zhang& Yongjun, Gong& Shengtao, Chen…[et al.]. Separation Method of Impulsive Fault Component for Gasoline Engine Based on Acoustic Signal Analysis. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1211624
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211624