Event-triggered fault detection framework based on subspace identification method for the networked control systems

Abstract

In this paper, the subspace identification method (SIM) based event-triggered fault detection (FD) is put forward to deal with the process monitoring of networked control systems (NCSs). The core concept is to construct a SIM based event-triggered residual generator. For this purpose, a parity space based residual generator is firstly established directly from test data, instead of the process model. Moreover, the event-triggered strategy is introduced to obtain an event-triggered residual generator, which is of great efficiency to reduce data transmission and guarantee the fault detection accuracy simultaneously. Finally, the application of the proposed method is illustrated by the computer control system of hot strip mill process (HSMP).