Intelligent signal segment fault detection using fuzzy logic

In this paper, we describe a fuzzy logic system used in a signal diagnostic agent (SDA) for signal segment fault diagnosis. A SDA is trained to detection the fault of a signal. The SDA provides two levels of decisions, the signal segment level and signal level, using fuzzy logic. At the signal segment level, we developed a fuzzy learning algorithm that learns from good vehicle signals only. The fuzzy learning algorithm was implemented in the framework of a SDA, and the experiments using engine electronic control unit signals are presented and discussed in the paper