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Using Neural Networks for Fault Diagnosis
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861460IEEE-INNS-ENNS International Joint Co ...
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Jia-Zhou He, Nanjing University
Zhi-Hua Zhou, Nanjing University
Xu-Ri Yin, Nanjing University
Shi-Fu Chen, Nanjing University
In this paper, a universal Fault Instance Model, which aims to solve problems existing in the present technology of fault diagnosis, such as the lack of universality, 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.
Citation:
Jia-Zhou He, Zhi-Hua Zhou, Xu-Ri Yin, Shi-Fu Chen, "Using Neural Networks for Fault Diagnosis," ijcnn, vol. 5, pp.5217, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000
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