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Abstract
In this paper, neuro based intelligent diagnosis methods for electro-mechanical control system are proposed. A self organizing map neural network (SOM) is used to classify measured data of the target system as a qualitative diagnostic method. Besides of the above procedure, it is expected to attain more efficient maintenance by a quantitative estimation of failure. For the purpose, new method is proposed using a hierarchical neural network (HNN). In the method, classified results by SOM are processed for the quantitative diagnosis. Hierarchical neural network can identify inner structure of the relations between failure causes and its results that enables a quantitative diagnosis.
Journal
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- Memoirs of the Faculty of Engineering, Okayama University
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Memoirs of the Faculty of Engineering, Okayama University 39 (1), 21-27, 2005-01
Faculty of Engineering, Okayama University
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Details 詳細情報について
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- CRID
- 1390290699601315200
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- NII Article ID
- 120002308342
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- NII Book ID
- AA10699856
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- ISSN
- 04750071
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- DOI
- 10.18926/14146
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- Text Lang
- en
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- Data Source
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- JaLC
- IRDB
- CiNii Articles