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A Cloud-Based Decision Support System for Self-Healing in Distributed Automation Systems Using Fault Tree Analysis
2018
IEEE Transactions on Industrial Informatics
Downtime is a key performance index for industrial automation systems. An industrial automation system achieves maximum productivity when its downtime is reduced to the minimum. One approach to minimize downtime is to predict system faults and recover from them automatically. A cloud-based decision support system is proposed for rapid problem identifications and to assist the self-management processes. By running multiple parallel simulations of control software with real-time inputs ahead of
doi:10.1109/tii.2018.2791503
fatcat:4k6j6zf4b5h43dyu7lyu4xr4x4