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This paper introduces a new method to design expert system reasoning with CPLD for fault diagnosis. Firstly, the reasoning process of normal expert system is analyzed; Secondly, the knowledge and experiences of experts are transformed to binary or multi-valued reasoning using fault tree, and the processes are realized with simple gate circuits; lastly, the new scheme is used in fault diagnosis for...
As an effective method for diagnosis reasoning, fuzzy reasoning is hard to meet the real-time challenge for its complex process and time-consuming. Traditionally, using software to implement fuzzy reasoning need to consume much more time, so a new method to design expert system fuzzy reasoning with FPGA for fault diagnosis is presented in this paper. In the new method, fuzzy operating is realized...
The requirement for power system operators to respond more efficiently to the stressed power system conditions that may create large number of alarms asks fort advanced alarm processor that can help operators recognize the nature of disturbance quickly and reliably. Many of the conventional alarm processors lack the ability to analyze complex events efficiently within a time constraint. This paper...
Traditional control system usually uses a single expert system for fault-diagnosis, which is unitary and unable to deal with problems in the complicated and flexible network environment. In this paper, expert system and neural network system are combined for fault detection and diagnosis, which can greatly increase the efficiency and accuracy of network fault diagnosis. The networked control system...
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