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An Intelligent Diagnosis Method for Rotating Machinery Using Least Squares Mapping and a Fuzzy Neural Network

This study proposes a new condition diagnosis method for rotating machinery developed using least squares mapping (LSM) and a fuzzy neural network. The non-dimensional symptom parameters (NSPs) in the time domain are defined to reflect the features of the vibration signals measured in each state. A...

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書目詳細資料
Main Authors: Li, Ke, Chen, Peng, Wang, Shiming
格式: Artigo
語言:Inglês
出版: Molecular Diversity Preservation International (MDPI) 2012
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3386721/
https://ncbi.nlm.nih.gov/pubmed/22778622
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s120505919
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