大数据2024，Vol.10Issue(1)：110-126,17.DOI:10.11959/j.issn.2096-0271.2023041
工业数字化转型:故障诊断方法研究进展
Industrial digital transformation:research onfault diagnosis methods
摘要
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.关键词
工业数字化/数字化转型/故障诊断/数字化方法Key words
industrial digitization/digital transformation/fault diagnosis/digital method分类
信息技术与安全科学引用本文复制引用
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):110-126,17.基金项目
上海市科委发展基金项目(No.22DZ1200704) Shanghai Science and Technology Development Fund Projects(No.22DZ1200704) （No.22DZ1200704）
