Decentralized Fault Prognosis of Discrete-Event Systems Using State-Estimate-Based Protocols
IEEE Transactions on Cybernetics
|July 12, 2018
Summary
This study introduces novel decentralized protocols for fault prognosis in discrete-event systems, enhancing early fault detection capabilities. These methods offer improved accuracy, outperforming existing approaches when failures are imminent.
Area of Science:
- Control Systems Engineering
- Computer Science
- Industrial Automation
Background:
- Decentralized fault prognosis is crucial for discrete-event systems (DES).
- Existing methods face limitations in accurately predicting faults in complex systems.
- Local agents monitor systems, sharing data for coordinated fault alarming.
Purpose of the Study:
- To develop new decentralized protocols for fault prognosis in DES.
- To enhance the early detection of faults before they occur.
- To improve the reliability of fault prediction in industrial systems.
Main Methods:
- Exploiting local agent state-estimates for decentralized monitoring.
- Proposing two novel decentralized protocols: positive and negative state-estimate prognosability.
- Developing verification algorithms for necessary and sufficient correctness conditions.
Main Results:
- Introduced two new decentralized fault prognosis protocols.
- Established necessary and sufficient conditions for protocol correctness (positive and negative state-estimate prognosability).
- Demonstrated that the new protocols are incomparable to existing methods.
Conclusions:
- The proposed protocols offer advanced capabilities for fault prediction in DES.
- These methods provide new opportunities for fault detection where existing protocols fail.
- The research advances the field of decentralized fault prognosis for critical systems.
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