Distributed fault detection and isolation in second order networked systems in a cyber-physical environment

Area of Science:

• Control Systems Engineering
• Cyber-Physical Systems Security
• Networked Systems Analysis

Background:

• Modern industrial processes and cyber-physical systems (CPS) are vulnerable to anomalies from both cyber and physical disturbances.
• Cyber attacks can trigger multiple coordinated faults, posing significant risks to system integrity and safety.
• Existing distributed fault detection and isolation (DFDI) schemes may face computational challenges when dealing with simultaneous faults.

Purpose of the Study:

• To propose a novel distributed fault detection and isolation scheme for second-order networked systems operating in cyber-physical environments.
• To enable each node to detect and isolate multiple simultaneous faults in neighboring nodes.
• To reduce the computational burden associated with DFDI.

Main Methods:

• Design of a distributed fault detection and isolation filter (DFDIF) for second-order networked systems.
• Each node utilizes measurements from neighboring nodes for fault analysis.
• The DFDIF enables fault detection and isolation in a single step at each node.

Main Results:

• The proposed DFDIF effectively detects and isolates multiple simultaneous faults in neighboring nodes.
• The single-step filtering approach at each node reduces the overall computational complexity of the DFDI scheme.
• Validation of the framework on power network and robotic formation test cases.

Conclusions:

• The novel distributed fault detection and isolation scheme offers an efficient solution for cyber-physical systems.
• The method successfully addresses the challenge of multiple simultaneous faults with reduced computational overhead.
• The proposed approach demonstrates superior effectiveness compared to existing techniques in simulated environments.