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This paper presents the design of a fault detection system with cascade correlation network (CCN) for a power system. Associate fault components with the states of protective devices would form symptomatic patterns to create training data. The proposed method makes use of information from both the primary and back-up devices involving single fault, multiple faults, data communication with errors, or fault with the failed operation of relays and circuit breakers. With a sample power system, computer simulations were conducted to show the effectiveness of the proposed system.