Abstract:

In order to diagnose faults in the wireless sequence control system which is based on the wireless sensor network and the traditional sequence control, the system structure is analyzed and its faults transmission rules are proposed. A fuzzy reasoning mechanism with an improvement of adding threshold judgment is proposed to make up the weakness of the confidence degree method of fuzzy Petri net in faults diagnosis. The improved fuzzy petri net diagnosis method is applied on the wireless sequence control system to diagnose the controller’s fault occurrence probability. It is concluded that the control logic has the largest fault occurrence probability, which is in line with the field test result.Key words:

Key words: fuzzy Petri nets;wireless sensor network;sequence control;faults diagnosis