Key points of complex process fault diagnosis technology based on artificial intelligence method

Yang Wu; Pengyu Wang; Nianhua Luo; Lu Zeng; Guanglu Feng

doi:10.1117/12.2670542

1 June 2023 Key points of complex process fault diagnosis technology based on artificial intelligence method

Yang Wu, Pengyu Wang, Nianhua Luo, Lu Zeng, Guanglu Feng

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126252K (2023) https://doi.org/10.1117/12.2670542
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

In the innovation and development of modern science and technology, due to the complex process of many influencing factors, reaction mechanism is more complex, can not establish accurate mathematical model, so the traditional sense of fault diagnosis method, can not achieve satisfactory results. On the basis of integrating practical research experience and based on the characteristics of complex processes, researchers from all over the world have used artificial intelligence methods to deeply explore new fault diagnosis techniques, and effectively analyzed the knowledge methods and application rules contained in them. On the basis of understanding the concept of complex process and artificial intelligence, and according to the research results of scholars from various countries, this paper deeply discusses the fault diagnosis technology of complex process with artificial intelligence method as the core, and makes clear the development trend of artificial intelligence technology in the fault diagnosis of complex process.

Citation Download Citation

Yang Wu, Pengyu Wang, Nianhua Luo, Lu Zeng, and Guanglu Feng "Key points of complex process fault diagnosis technology based on artificial intelligence method", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126252K (1 June 2023); https://doi.org/10.1117/12.2670542

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