A parity space approach to fault detection for networked control system via optimal measurement selection

A parity space approach to fault detection by an optimal measurement selection is proposed for networked control systems (NCS). A distributed process, decomposed into p sub-processes with different sampling times, is modeled as a linear time-invariant discrete-time system by means of the lifting technique. In order to reduce the network load and data transmission cost, an optimal scheme, which manages and schedules the data transmission through the networks from the local subsystems to the central fault detection system, is developed. This scheme ensures that a minimum communication load or measurement cost for the data transmission of NCS can be achieved, while the fault detection performance is optimum simultaneously.