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ÌâÄ¿£ºMonotonicity Evaluation Method of Monitoring Feature Series Based on Ranking Mutual Information
ÆÚ¿¯£ºJournal of shanghai Jiaotong University (Science)
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Title:  Monotonicity evaluation method of monitoring feature series based on ranking mutual information
      Authors:  Zhao, Chun-yu1 Email author malun018@163.com; Liu, Jing-jiang1; Ma, Lun2; Zhang, Wei-jun3  
    Author affiliation:  1 Baicheng Ordnance Test Center of China, Baicheng, Jilin, China  
   2 Academy of Equipment, Beijing, China  
   3 Divisions 73, Unit 66362, Beijing, China  
      Corresponding author:  Zhao, Chun-yu  
          Source title:  Journal of Shanghai Jiaotong University (Science)
    Abbreviated source title:  J. Shanghai Jiaotong Univ. Sci.
    Volume:  20
        Issue:  3
        Issue date:  June 10, 2015
    Publication year:  2015
        Pages:  380-384
        Language:  English
    ISSN:   10071172   
    E-ISSN:   19958188   
          Document type:  Journal article (JA)
                Publisher:  Shanghai Jiao Tong University, 2200 Xietu Rd no.25,, Shanghai, 200032, China
       Abstract:  As a prerequisite for effective prognostics, the goodness of the features affects the complexity of the prognostic methods. Comparing to features quality evaluation in diagnostics, features evaluation for prognostics is a new problem. Normally, the monotonic tendency of feature series can be used as the visual representation of equipment damage cumulation so that forecasting its future health states is easy to implement. Through introducing the concept of ranking mutual information in ordinal case, a monotonicity evaluation method of monitoring feature series is proposed. Finally, this method is verified by the simulating feature series and the results verify its effectivity. For the specific application in industry, the evaluation results can be used as the standard for selecting prognostic feature. © 2015, Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg.
            Number of references:  8
                Main heading:   Quality control  
      Controlled terms:   Systems engineering  
    Uncontrolled terms:   Equipment damage  - Evaluation results  -  Health state  - Monotonicity  - Mutual informations  -  prognostics  -  Quality evaluation  -  Visual representations  
        Classification code:   912 Industrial Engineering and Management -  913.3 Quality Assurance and Control -  961 Systems Science
                DOI:  10.1007/s12204-015-1641-8
              Database:  Compendex
   Compilation and indexing terms, © 2015 Elsevier Inc.
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20152400929606

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2Â¥: Originally posted by fatewu at 2015-10-10 10:16:15
Accession number:  
20152400929606

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