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Volumn , Issue , 2011, Pages 10-14

Statistical approach for finding sensitive positions for condition based monitoring of reciprocating air compressors

Author keywords

Data acquisition; Sensitive positions; Single acting reciprocating air compressor; Statistical parameters

Indexed keywords

AIR COMPRESSOR; CONDITION-BASED MONITORING; CROSS CORRELATIONS; ENTIRE SYSTEM; HEALTH MONITORING; HEALTH MONITORING SYSTEM; MAINTENANCE COST; OPERATING EFFICIENCY; PC-BASED DATA ACQUISITION SYSTEM; PEAK VALUES; PLANT PERFORMANCE; POTENTIAL FAULTS; SENSITIVE POSITIONS; SINGLE ACTING RECIPROCATING AIR COMPRESSOR; STANDARD DEVIATION; STATISTICAL APPROACH; STATISTICAL PARAMETERS; SYSTEM RELIABILITY; TIMELY IDENTIFICATION;

EID: 80052858416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSEngT.2011.5993411     Document Type: Conference Paper
Times cited : (16)

References (7)
  • 7
    • 65349117069 scopus 로고    scopus 로고
    • A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data
    • IEEE
    • Stephen J. Preece*, John Yannis Goulemas, Member, IEEE, Laurence P.J. Kenney, and David Howard, A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data, IEEE Transactions, vol 56, No 3, 2009.
    • (2009) IEEE Transactions , vol.56 , Issue.3
    • Preece, S.J.1    Yannis, J.2    Member, G.3    Kenney, L.P.J.4    Howard, D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.