Statistical signatures used with multivariate statistical analysis for fault detection and isolation and abnormal condition prevention in a process
作者： John Philip Miller
DOI:
关键词: State (computer science) 、 Representation (mathematics) 、 Measure (data warehouse) 、 Fault detection and isolation 、 Reference data (financial markets) 、 Process (computing) 、 Data mining 、 Set (abstract data type) 、 Computer science 、 Multivariate statistical
摘要: A system and method for monitoring a process in plant detecting an abnormal condition includes collecting data representative of the operation process, performing multivariate statistical analysis to represent known state based on set collected reference data, where measure state. The may further include representing unknown monitored state, using output as input, comparing representation determine operational process.
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