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

摘要/Abstract

摘要：

工业数字化是我国工业产业转型升级的重要手段，数字化转型成为我国工业发展的重要趋势。工业系统的可靠性和稳定性对于工业生产的高质量和可持续发展具有重要作用。故障会影响工业系统的运行，甚至造成重大的安全事故和经济损失。为应对这一问题，故障诊断技术应运而生并逐步发展。高效、高质的故障诊断数字化技术已经成为工业数字化转型的关键技术。分析了工业领域故障诊断数字化方法的研究进展，按照其发展特点划分为领域经验主导的建模方法、数据驱动与领域经验结合的数字化方法、数据驱动主导与可解释性结合的数字化方法3个阶段，重点探究每个阶段方法的基本思想及其特点等，并探讨未来的研究方向，为推动工业数字化转型提供参考。

关键词: 工业数字化, 数字化转型, 故障诊断, 数字化方法

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

中图分类号:

TP311

杨彪, 熊贇, 傅玲, 徐蔚峰, 李婧. 工业数字化转型：故障诊断方法研究进展[J]. 大数据, 2024, 10(1): 110-126.

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.

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