Design of an Intelligent Fault-Tolerant System for Real-World Applications

To achieve the safety of an intelligent digital system for real-world applications, not only the hardware faults in the processors but also any other faults and errors related to the real world such as sensor faults, actuator faults and human errors must be removed. From this point of view, an intelligent fault-tolerant system for real-world applications is proposed based on triple-modular redundancy. The system consists of a master processor that performs the actual control operations and two redundant processors which simulate real-world process together with the control operations using knowledge-based inference strategy. To realize the independency between the triplicated modules, the simulation for error detection and recovery is performed without actual external sensor signals used in the master processor.