Decomposition of vibration signals into deterministic and nondeterministic components and its capabilities of fault detection and identification

International Journal of Applied Mathematics and Computer Science

Volumn 19, Issue 2, 2009, Pages 327-335

  Barszcz, Tomasz ^a  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

Author keywords

Decomposition; Deterministic component; Nondeterministic component; Rolling bearing; Vibration

Indexed keywords

BEARING FAULT; COMPLEX STRUCTURE; DETERMINISTIC COMPONENT; FAULT DETECTION AND IDENTIFICATION; FUNDAMENTAL PERIOD; INPUT SIGNAL; NOISE COMPONENTS; NONDETERMINISTIC COMPONENT; OUTER RACES; REAL SIGNALS; REFERENCE SIGNALS; RESAMPLING; ROLLING BEARING; ROLLING BEARINGS; SELF- ADAPTIVE FILTER; SIMULATED DATA; VIBRATION; VIBRATION SIGNAL;

ADAPTIVE FILTERING; ADAPTIVE FILTERS; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); DECOMPOSITION; ELECTRIC FILTERS; FAULT DETECTION; JITTER; MATLAB; MINING; WIND POWER;

SIGNAL PROCESSING;

EID: 69149094611     PISSN: 1641876X     EISSN: None     Source Type: Journal    
DOI: 10.2478/v10006-009-0028-0     Document Type: Article

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