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摘要: 提出了一种全新的分类框架, 将故障诊断方法整体分为两大类, 即定性分析的方法和定量分析的方法. 对现有的方法在此框架下进行了划分, 并详细介绍了每种方法的基本思想、研究进展和典型应用, 其中重点讨论了数据驱动的方法. 最后, 简述了故障预测的研究现状, 并探讨了故障诊断研究存在的问题和未来的发展方向.Abstract: A novel classification framework is proposed, whichdivides fault diagnosis approaches into two classes: qualitativeanalysis approaches and quantitative analysis approaches. The basicidea, main research progresses, and typical applications of eachmethod are discussed in detail, with emphasis on the data-drivenapproaches. The state-of-the-art of fault prediction is alsooutlined. Finally, some problems and development trends of the research on fault diagnosis are pointed out.
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Key words:
- Dynamic systems /
- fault diagnosis /
- fault prediction /
- data-driven
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