Fuzzy Logic Techniques for Sensor Fusion in Real-Time Expert Systems

Sensor data fusion is one of the main problems when developing on-line realtime expert systems. During the development of the MIP project several fuzzy logic techniques have beenbuilt up to help with this problem. MIP [1] is a realtime expert system for assistance to petrochemical processes, deployed and in production in a petrochemical plant of INH-REPSOL in Tarragona, Spain. The techniques presented in this paper ascertain confidence values to each sensor measurement. These techniques are currently in production in the plant.