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Applications of Fault Diagnosis techniques for a multishaft centrifugal compressor

机译:故障诊断技术在多轴离心压缩机中的应用

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In the present paper the design and implementation of a Fault Diagnosis system for a compression's process integrated in an IGCC (Integrated Gasification & Combined Cycle) section of a refinement plant is described. Both single and multiple faults have been considered which may cause errors in the sensor readings and/or in the actuators used in the process. A multivariable data-driven approach, that is a principal component analysis (PCA) technique has been adopted for monitoring the chemical process performances. A new procedure for the determination of number of principal components based on the statistical test ANOVA is introduced which constitutes the original contribution of the paper. The proposed approach on detection and isolation of faults have been tested and validated on the plant and its goodness and effectiveness could be proven.
机译:在本文中,描述了集成在精炼厂IGCC(整体气化和联合循环)部分中的压缩过程故障诊断系统的设计和实现。已经考虑了单个故障和多个故障,这可能会导致传感器读数和/或过程中使用的执行器出现错误。采用多变量数据驱动的方法(即主成分分析(PCA)技术)来监控化学过程的性能。引入了一种基于统计检验方差分析确定主成分数量的新程序,该程序构成了本文的原始贡献。所提出的故障检测和隔离方法已经在工厂进行了测试和验证,其有效性和有效性得以证明。

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