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Systematic exploration of signal-based indicators for failure diagnosis in the context of cyber-physical systems

Frontiers of Information Technology & Electronic Engineering 2019年第2期20卷 152-175页

作者： Santiago RUIZ-ARENAS Zoltán RUSáK Imre HORVáTH Ricardo MEJí-GUTIERREZ Faculty of Industrial Design Engineering Delft University of Technology Grupo de Investigación en Ingeniería de Diseno Universidad EAFIT

Malfunction or breakdown of certain mission critical systems(MCSs) may cause losses of life, damage the environments, and/or lead to high costs. Therefore, recognition of emerging failures and preventive maintenance are essential for reliable operation of MCSs. There is a practical approach for identifying and forecasting failures based on the indicators obtained from real life processes. We aim to develop means for performing active failure diagnosis and forecasting based on monitoring statistical changes of generic signal features in the specific operation modes of the system. In this paper, we present a new approach for identifying emerging failures based on their manifestations in system signals. Our approach benefits from the dynamic management of the system operation modes and from simultaneous processing and characterization of multiple heterogeneous signal sources. It improves the reliability of failure diagnosis and forecasting by investigating system performance in various operation modes, includes reasoning about failures and forming of failures using a failure indicator matrix which is composed of statistical deviation of signal characteristics between normal and failed operations, and implements a failure indicator concept that can be used as a plug and play failure diagnosis and failure forecasting feature of cyber-physical systems. We demonstrate that our method can automate failure diagnosis in the MCSs and lend the MCSs to the development of decision support systems for preventive maintenance.

关键词： failure indicators failure classification failure detection and diagnosis Complex systems

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