Application of artificial intelligence algorithm model in fault diagnosis of interactive information

Hulin Jin; Zhiran Jin; Yong-Guk Kim

doi:10.1117/12.3046156

19 September 2024 Application of artificial intelligence algorithm model in fault diagnosis of interactive information

Hulin Jin, Zhiran Jin, Yong-Guk Kim

Proceedings Volume 13225, Sixth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2024); 1322503 (2024) https://doi.org/10.1117/12.3046156
Event: Sixth International Conference on Image, Video Processing and Artificial Intelligence, 2024, Kuala Lumpur, Malaysia

Abstract

Interactive information fault diagnosis technology is a new type of fault diagnosis technology which is integrated by information fusion, artificial intelligence, computer science and other disciplines. It can extract interactive information data of equipment in real time, analyze the characteristics of fault information, and then find the change and trend of equipment operating status. However, there are still some shortcomings in the practical application of this technology, for example, it is difficult to deal with a large number of complex interactive information data, and it is difficult to carry out effective fault diagnosis. Therefore, an intelligent fault diagnosis method with improved grey relational degree is proposed in this paper. This method can effectively extract the interactive information feature data of the equipment, and carry out the correlation analysis of the fault feature data through the grey correlation analysis algorithm, which provides a new idea for the fault diagnosis

Citation Download Citation

Hulin Jin, Zhiran Jin, and Yong-Guk Kim "Application of artificial intelligence algorithm model in fault diagnosis of interactive information", Proc. SPIE 13225, Sixth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2024), 1322503 (19 September 2024); https://doi.org/10.1117/12.3046156

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