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针对基于主元分析(PCA)的统计性能监控法,由于不用过程机理模型的信息,因此,对故障诊断问题有难以在理论上作系统分析的缺陷,于是提出了一种基于主元子空间故障重构技术的故障诊断方法。利用故障子空间的概念,在故障重构技术的基础上,研究基于T~2统计量的故障诊断问题,提出故障识别指标和诊断算法。通过对双效蒸发过程的仿真监测,验证该诊断方法的有效性。
For PCA-based statistical performance monitoring method, it is difficult to theoretically make a systematic analysis of the fault diagnosis problem because it does not use the information of the process mechanism model. Therefore, a method based on principal component subspace fault Refactoring technology fault diagnosis method. Based on the fault reconstruction technique, the fault diagnosis problem based on T ~ 2 statistics is studied by using the concept of fault subspace, and the fault identification index and diagnosis algorithm are proposed. Through the simulation monitoring of the double-effect evaporation process, the effectiveness of the diagnostic method is verified.