Engine fault diagnosis using probabilistic neural network

• Main Authors: Sheng, Zhu, Min, Keng Tan, Ka, Renee Yin Chin, Bih, Lii Chua, Xiaoxi, Hao, Tze, Kenneth Kin Teo
• Format: Proceedings
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers 2021
• Subjects: TL1-4050 Motor vehicles. Aeronautics. Astronautics
• Online Access: https://eprints.ums.edu.my/id/eprint/32537/1/Engine%20fault%20diagnosis%20using%20probabilistic%20neural%20network.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/32537/2/Engine%20fault%20diagnosis%20using%20probabilistic%20neural%20network.pdf; https://eprints.ums.edu.my/id/eprint/32537/; https://ieeexplore.ieee.org/document/9573654

Engine failure is one of the major factors caused vehicle breakdown. In the current practice, the engine faults are diagnosed manually by mechanics and the accuracy is highly relied on their experience. Therefore, this study would like to explore the feasibility of implementing auto fault diagnosis...