Abstract
Intelligent manufacturing 2025 initiative provides new research directions in mechanical equipment operation reliability, key techniques within the initiative, such as equipment state monitoring and fault diagnosis is an important part of the preventive maintenance system. To ensure the safety of the mechanical equipment running and the stability is of great significance. In recent years, with the continuous development of computer science and AI technology, the development prospect of artificial intelligence for fault diagnosis has been fruitful in many industries. In this paper, the common fault diagnosis model is taken as an example, and the application of artificial intelligence in industrial field in the new era is analyzed, and the development prospect and potential challenges on this basis are pointed out.
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Zhao, X., Wang, Y. (2022). Application and Development of Artificial Intelligence in Fault Diagnosis. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XI. IWAMA 2021. Lecture Notes in Electrical Engineering, vol 880. Springer, Singapore. https://doi.org/10.1007/978-981-19-0572-8_71
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DOI: https://doi.org/10.1007/978-981-19-0572-8_71
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