A Study of Probabilistic Diagnosis Method for Three Kinds of Internal Combustion Engine Faults Based on the Graphical Model
Joint Authors
Liu, Jiameng
Ma, Bo
Jiang, Zhinong
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-11
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
A strategy for increasing the accuracy rate of internal combustion engine (ICE) fault diagnosis based on the probabilistic graphical model is proposed.
In this method, a three-layer network with inference of probability is constructed, and both the material conditions and the signals collected from different engine parts are considered as the inputs of the system.
Machine signals measured by sensors were processed in order to diagnose potential faults, which were presented as probabilities based on the components in layer 1, fault categories in layer 2, and fault symptoms in layer 3.
The diagnosis model was built by using nodes and arcs, and the results depended on the connections between the fault categories and symptoms.
The parameters of the network represented quantitative probabilistic relationships among all layers, and the conditional probabilities of each type of fault and relevant symptoms were summarized.
Fault cases were simulated on a 12-cylinder diesel engine, and three fault types that often occur on ICEs were tested based on five different fault symptoms with different loads, respectively.
The diagnostic capability of the method was investigated, reporting high accuracy rates.
American Psychological Association (APA)
Liu, Jiameng& Ma, Bo& Jiang, Zhinong. 2019. A Study of Probabilistic Diagnosis Method for Three Kinds of Internal Combustion Engine Faults Based on the Graphical Model. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1197378
Modern Language Association (MLA)
Liu, Jiameng…[et al.]. A Study of Probabilistic Diagnosis Method for Three Kinds of Internal Combustion Engine Faults Based on the Graphical Model. Mathematical Problems in Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1197378
American Medical Association (AMA)
Liu, Jiameng& Ma, Bo& Jiang, Zhinong. A Study of Probabilistic Diagnosis Method for Three Kinds of Internal Combustion Engine Faults Based on the Graphical Model. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1197378
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197378