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A distributed networked approach for fault detection of large-scale systems
Abstract
Networked systems present some key new challenges in the development of fault diagnosis architectures. This paper proposes a novel distributed networked fault detection methodology for large-scale interconnected systems. The proposed formulation incorporates a synchronization methodology with a filtering approach in order to reduce the effect of measurement noise and time delays on the fault detection performance. The proposed approach allows the monitoring of multi-rate systems, where asynchronous and delayed measurements are available. This is achieved through the development of a virtual sensor scheme with a model-based re-synchronization algorithm and a delay compensation strategy for distributed fault diagnostic units. The monitoring architecture exploits an adaptive approximator with learning capabilities for handling uncertainties in the interconnection dynamics. A consensus-based estimator with timevarying weights is introduced, for improving fault detectability in the case of variables shared among more than one subsystem. Furthermore, time-varying threshold functions are designed to prevent false-positive alarms. Analytical fault detectability sufficient conditions are derived and extensive simulation results are presented to illustrate the effectiveness of the distributed fault detection technique- Journal Article
- Science & Technology
- Technology
- Automation & Control Systems
- Engineering, Electrical & Electronic
- Engineering
- Distributed systems
- fault detection
- large-scale systems
- networked control systems
- DETECTION FILTERING APPROACH
- TIME NONLINEAR-SYSTEMS
- PREDICTIVE CONTROL
- DETECTION SCHEME
- SENSOR FAULTS
- COMMUNICATION
- DIAGNOSIS
- STABILITY
- DELAY
- SUBJECT
- Industrial Engineering & Automation
- 0102 Applied Mathematics
- 0906 Electrical and Electronic Engineering
- 0913 Mechanical Engineering