Artificial Intelligence Tools in Diagnostics of Machine Tool Drives*
| Autor: | Jerzy Jedrzejewski, W. Kwaśny |
|---|---|
| Rok vydání: | 1996 |
| Předmět: |
Engineering
business.product_category Artificial neural network business.industry Mechanical Engineering computer.software_genre Fuzzy logic Industrial and Manufacturing Engineering Expert system Variety (cybernetics) Power (physics) Machine tool Mechanism (engineering) Machining Artificial intelligence business computer |
| Zdroj: | CIRP Annals. 45:411-414 |
| ISSN: | 0007-8506 |
| DOI: | 10.1016/s0007-8506(07)63092-3 |
| Popis: | Diagnostics of machine tool drives aided with an expert system and neural network and allowing for a variety of drive conditions and diagnostic signals is discussed. An actual solution is presented of a drive self-diagnosing system consisting in on-line temperature- and power-based monitoring supplemented by detailed off-line diagnostics backed by Al tools and knowledge bases and invoked in need only. The detailed diagnostics is based on power and acoustic noise measurements and involves data base propagation, a customized diagnosing algorithm, a mechanism of automatic inferring using fuzzy logic procedures and simulation of the inferring mechanism by a neural network. The exposition is completed by a working example of drive diagnostics application in a machining centre. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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