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Jiangxi Nonferrous Metals Society
ISSN：1674-9669
CN：36-1311/TF
CODEN YJKYA9
Volume 2 Issue 4
Aug.  2011
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WANG Feng-suo, ZENG Lu, HE Xue-wen. Failure Diagnosis Analysis of Gas Blower Based on Nuclear Clustering Method[J]. Nonferrous Metals Science and Engineering, 2011, 2(4): 101-104.
Citation: WANG Feng-suo, ZENG Lu, HE Xue-wen. Failure Diagnosis Analysis of Gas Blower Based on Nuclear Clustering Method[J]. Nonferrous Metals Science and Engineering, 2011, 2(4): 101-104.
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Failure Diagnosis Analysis of Gas Blower Based on Nuclear Clustering Method

  • Faculty of Mechanical and Electronic Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China

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  • Received Date: April 05, 2011
  • Published Date: August 30, 2011
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    • Abstract
  • This paper studies the common faults of gas blower group and the vibration characteristics. Dynamic clustering analysis is performed on the matrix's calculation and transformed results using nuclear function technique. The automatic diagnosis system model based on dynamic nuclear clustering analysis is set up applying fuzzy diagnosis method. The model guarantees the accuracy for the fan vibration monitoring and fault diagnosis.
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    • References (8)
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    袁胜发, 褚福磊.机械学支持向量机及其在机械故障诊断中的应用[J].中国学术期刊文摘, 2008, 14(10):5-6. http://www.cnki.com.cn/Article/CJFDTotal-SJKF200906036.htm
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