工业数字化转型：故障诊断方法研究进展

doi:10.11959/j.issn.2096-0271.2023041

Abstract

Abstract:

Industrial digitalization is an important way for industrial transformation and upgrading of China's industry, and digital transformation has become an important trend in the development of China's industry.The reliability and stability of industrial systems play an important role in the high quality and sustainable development of industrial production.Failures affect the operation of industrial systems and even cause major safety accidents and economic losses.To deal with this problem, fault diagnosis technology has emerged and gradually developed.Efficient and high-quality fault diagnosis digital technology has become a key technology for industrial digital transformation.The research progress of digital methods of fault diagnosis in industry were analyzed.According to the development characteristics, three stages were divided, including domain experience-led modeling methods, data-driven digital methods combining with domain experience, and data-driven digital methods combining with interpretability.Focus on the basic ideas and characteristics of the methods in each stage, the future research directions were discussed, and the references were provided for promoting industrial digital transformation.

Key words: industrial digitization, digital transformation, fault diagnosis, digital method

CLC Number:

TP311

Biao YANG, Yun XIONG, Ling FU, Weifeng XU, Jing LI. Industrial digital transformation:research onfault diagnosis methods[J]. Big Data Research, 2024, 10(1): 110-126.

Figures/Tables 6

References 98

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