A distributed detection and isolation scheme for multiple sensor faults in interconnected nonlinear systems

Abstract

This paper presents a distributed methodology for detecting and isolating multiple sensor faults in interconnected nonlinear systems. For each of the interconnected subsystems, a corresponding Local Sensor Fault Diagnosis (LSFD) agent is designed, which is allowed to exchange information with neighboring LSFD agents. The decisions of the LSFD agents are integrated and processed by a Global Sensor Fault Diagnosis (GSFD) agent in order to isolate multiple sensor faults propagating between neighboring LSFD agents through information exchange. The combined local and global isolation decision logic is designed based on diagnostic reasoning, taking into account the effects of sensor faults in the local sensor set and the transmitted faulty sensor information on the agents' decisions.