Data-driven root-cause fault diagnosis for multivariate non-linear processes

Bahador Rashidi; Dheeraj Sharan Singh; Qing Zhao

doi:10.1016/j.conengprac.2017.09.021

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Data-driven root-cause fault diagnosis for multivariate non-linear processes

Bahador Rashidi Dheeraj Sharan Singh Qing Zhao

Year: 2017 Journal: Control Engineering Practice Vol: 70 Pages: 134-147 Publisher: Elsevier BV

DOI: 10.1016/j.conengprac.2017.09.021

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Keywords:

Transfer entropy Multivariate statistics Computer science Root cause Fault detection and isolation Entropy (arrow of time) Sample entropy Time series Data mining Artificial intelligence Algorithm Machine learning Engineering Principle of maximum entropy Reliability engineering

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Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Mineral Processing and Grinding

Physical Sciences → Engineering → Mechanical Engineering

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Data-driven root-cause fault diagnosis for multivariate non-linear processes

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