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Volumn 2001-January, Issue , 2001, Pages 395-399

Diagnosis and prognosis of bearings using data mining and numerical visualization techniques

Author keywords

Accuracy; Condition monitoring; Data mining; Data visualization; Failure analysis; Fault diagnosis; Machinery; Signal analysis; Signal processing; Vibration measurement

Indexed keywords

CONDITION MONITORING; DATA COMPRESSION; DATA COMPRESSION RATIO; DATA HANDLING; DATA MINING; FAILURE ANALYSIS; FAULT DETECTION; INTELLIGENT AGENTS; MACHINERY; SIGNAL ANALYSIS; SIGNAL PROCESSING; SYSTEM THEORY; VIBRATION ANALYSIS; VIBRATION MEASUREMENT; VISUALIZATION;

EID: 12844272473     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSST.2001.918553     Document Type: Conference Paper
Times cited : (10)

References (9)
  • 7
    • 0003303040 scopus 로고
    • New Techniques for Fault Diagnostic in Rolling Element Bearings
    • Nat. Bureau of Standards, Gaithersburg, MD, April 16-18
    • Courrech, J., "New Techniques for Fault Diagnostic in Rolling Element Bearings," Proc. 40th Meeting of the Mechanical Failure Preventive Group, Nat. Bureau of Standards, Gaithersburg, MD, April 16-18, 1985.
    • (1985) Proc. 40th Meeting of the Mechanical Failure Preventive Group
    • Courrech, J.1
  • 9
    • 12844264393 scopus 로고    scopus 로고
    • Bearing Fault Identifications Using Agent-based Data Mining and Numerical Visualization Techniques
    • Nov 11-16, New York, NY
    • Blair, J., and Shirkhodaie A., "Bearing Fault Identifications Using Agent-based Data Mining and Numerical Visualization Techniques," will appear in the 2001 ASME International Mechanical Engineering Congress & Exposition, Nov 11-16, 2001, New York, NY.
    • (2001) 2001 ASME International Mechanical Engineering Congress & Exposition
    • Blair, J.1    Shirkhodaie, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.