Method Research on Information Fusion of Reciprocating Machinery Fault Diagnose
| Autor: | Le Li, Li Yong Wang, Yang Long Li |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Structure (mathematical logic)
Engineering business.industry Reciprocating engine Control engineering Hardware_PERFORMANCEANDRELIABILITY General Medicine Fault (power engineering) Effective solution Tree (data structure) Reciprocating motion Information fusion Feature (computer vision) business human activities |
| Zdroj: | Applied Mechanics and Materials. 392:743-745 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.392.743 |
| Popis: | The reciprocating machinery has complicated structure, various motion forms and high difficulty of fault diagnosis, now we mainly apply the multi-sensor information fusion as the effective solution. This thesis introduces the structure model of reciprocating machinery information fusion, establishes the tree diagnosis model for fault diagnosis feature information fusion of reciprocating engine, describes the fusion diagnosis steps, and puts forward the technological approaches and methods to solve fault diagnosis information fusion of reciprocating engine from the aspect of testing methods and diagnosis modeling. |
| Databáze: | OpenAIRE |
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