Condition monitoring and diagnosis of rotating machinery by gram-charlier expansion of vibration signal

4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, KES 2000 - Proceedings

Volumn 2, Issue , 2000, Pages 541-544

  Toyota, Toshio ^a   Niho, Tomoya ^a   Chen, Peng ^a  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

NORMAL DISTRIBUTION; PROBABILITY DENSITY FUNCTION; ROTATING MACHINERY; TIME DOMAIN ANALYSIS; VIBRATION ANALYSIS; MACHINE VIBRATIONS; STATISTICAL METHODS;

CONDITION; DIAGNOSIS METHODS; GRAM-CHARLIER EXPANSIONS; MONITORING AND DIAGNOSIS; MONITORING METHODS; ROTATING MACHINE; STATISTICAL HYPOTHESIS; TIME DOMAIN; VIBRATION CHARACTERISTICS; VIBRATION SIGNAL;

CONDITION MONITORING; SIGNAL DETECTION;

CONDITION MONITORING; FAILURE DIAGNOSIS;

EID: 0033659017     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KES.2000.884106     Document Type: Conference Paper

References (3)

1. R.M.Stewart, "Machinery Health Monitoring Group Technical Brochure", SOUTHAMPTON UNIVERSITY, 1979.
2. R.M.Stewart, "SOME USEFUL DATA ANALYSIS TECHNIQUES FOR GEAR BOX DIAGNOSTICS", Institute of Sound and Vibration, UNIVERSITY OF SOUTHAMPTON, 1977.
3. Alan Stuart and Keith Ord, Kendall's Advanced Theory of Statistics, Volume 1, 1994, pp.228-252.