Vehicle Engine Fault Identification Method Equipment and System Based on Deep Learning
DOI: 10.23977/acss.2022.060306 | Downloads: 35 | Views: 791
Author(s)
Wei Dong 1, Yan Li 1, Xing Liu 1, Hailong Zhu 1
Affiliation(s)
1 FAW Group Engineering and Production Logistics Department - General Assembly Process Department, Changchun City, Jilin Province, China
Corresponding Author
Wei DongABSTRACT
In the actual driving process of the vehicle, the engine may have a variety of faults. Timely identification or detection of engine faults is an urgent technical problem to be solved. In the existing traditional technology, engineers with rich experience are usually employed to manually detect engine faults. This method is inefficient and has high error rate. This paper presents an engine fault recognition method, equipment and medium based on deep learning to realize the automatic recognition of engine faults.
KEYWORDS
Deep Learning, Engine Fault Identification, AutomationCITE THIS PAPER
Wei Dong, Yan Li, Xing Liu, Hailong Zhu, Vehicle Engine Fault Identification Method Equipment and System Based on Deep Learning. Advances in Computer, Signals and Systems (2022) Vol. 6: 43-56. DOI: http://dx.doi.org/10.23977/acss.2022.060306.
REFERENCES
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