Distributed fault detection for large-scale interconnected systems

The main objective of this paper is to develop a distributed fault detection (FD) approach for large-scale interconnected systems using sensor networks. Specifically, the one-step prediction based on the measured data is implemented in a distributed fashion so that each node can receive corresponding estimations and innovation sequences in a real-time manner. Then the innovation sequences are applied to improve the estimation result delivered from the one-step prediction by filtering and smoothing. After filtering and smoothing, the residual signals are calculated to detect faults. Finally, a case study shows that the distributed approach can efficiently accomplish the FD task. A distributed fault detection (FD) approach for large-scale interconnected systems using sensor network is developed. The one-step prediction based on the measured data is implemented in the distributed fashion, such that the corresponding estimations and the innovation sequences of each node can be received in real-time manner. Then the innovation sequences are applied to improve the estimation result delivered from one-step prediction by filtering and smoothing and then implemented to detect faults.image