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  4. Vol 6, Issue 3, 2022

Vehicle Engine Fault Identification Method Equipment and System Based on Deep Learning

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DOI: 10.23977/acss.2022.060306 | Downloads: 35 | Views: 788

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 Dong

ABSTRACT

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, Automation

CITE 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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[4] Li Jian. Fault Diagnosis for Variable Cycle Engine Gas Path: A Deep Learning Approach [D]. Shanghai Jiao Tong University, 2019. DOI: 10.27307/d.cnki.gsjtu.2019.001850.
[5] Hong Jiyu. Research on Aero-engine Reliability Analysis Based on Deep Learning [D]. Nanning Univeristy of Aeronautics and Astronautics, 2018.
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[8] Yan Bing. Application of Deep Learning in Aero-engine Fault Diagnosis [D]. Shanghai Jiao Tong University, 2017.

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