Using Neural Networks for Fault Diagnosis
نویسندگان
چکیده
In this paper, a universial Fault Instance Model, which aims to solve problems existing in the present technology of fault diagnosis , such as the lack of universiality, the difficulty in the use of real time system and the dilemma of stability and plasticity, is proposed. The experiment demonstrates that the FANNC used can successfully settles the problems mentioned above by its effectively incremental ability and processing new input patterns via one round learning.
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تاریخ انتشار 2000