Fault Identification Method of Diesel Engine in Light of Pearson Correlation Coefficient Diagram and Orthogonal Vibration Signals
Joint Authors
Zeng, Ruili
Xia, Kewen
Zhiyong, Li
Hongdong, Zhao
Qiang, Guo
Yuhai, Li
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-27
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In order to select fault feature parameters simply and quickly and improve the identification rate of diesel engine faults by using the vibration signals, this paper proposes a diesel engine fault identification method on the basis of the Pearson correlation coefficient diagram (PCC Diagram) and the orthogonal vibration signals.
At first, the orthogonal vibration acceleration signals are synchronously acquired in the direction of the top and side of the cylinder head.
And the time-domain feature parameters are extracted from the orthogonal vibration acceleration signals to obtain the Pearson correlation coefficient (PCC).
Then, the correlation coefficient diagram used to do feature parameter screening is constructed by selecting the feature parameters with the correlation coefficient of more than 0.9.
Finally, generalized regression neural network (GRNN) is adopted to classify and identify fuel supply fault in diesel engine.
The results show that using the PCC Diagram can simplify the selection process of the feature parameters of the orthogonal vibration signals quickly and effectively.
It can also improve the fault identification rate of diesel engine significantly with the help of adding the newly proposed cross-correlation coefficient of the orthogonal vibration signals into the GRNN input feature vector set.
American Psychological Association (APA)
Zhiyong, Li& Hongdong, Zhao& Zeng, Ruili& Xia, Kewen& Qiang, Guo& Yuhai, Li. 2019. Fault Identification Method of Diesel Engine in Light of Pearson Correlation Coefficient Diagram and Orthogonal Vibration Signals. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1194917
Modern Language Association (MLA)
Zhiyong, Li…[et al.]. Fault Identification Method of Diesel Engine in Light of Pearson Correlation Coefficient Diagram and Orthogonal Vibration Signals. Mathematical Problems in Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1194917
American Medical Association (AMA)
Zhiyong, Li& Hongdong, Zhao& Zeng, Ruili& Xia, Kewen& Qiang, Guo& Yuhai, Li. Fault Identification Method of Diesel Engine in Light of Pearson Correlation Coefficient Diagram and Orthogonal Vibration Signals. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1194917
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194917