A looseness identification approach for rotating machinery based on post-processing of ensemble empirical mode decomposition and autoregressive modeling

JVC/Journal of Vibration and Control

Volumn 18, Issue 6, 2012, Pages 796-807

  Wu, Tian Yau ^a   Hong, Huei Cheng ^a   Chung, Yu Liang ^b  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

Author keywords

Autoregressive model; EEMD; fault diagnosis; HHT; looseness; vibration analysis

Indexed keywords

ANALYSIS RESULTS; AUTO REGRESSIVE MODELS; AUTOREGRESSIVE MODELING; CHARACTERISTIC VECTORS; DIFFERENT FREQUENCY; EEMD; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; FAULT FEATURE; FINITE NUMBER; HHT; IDENTIFICATION APPROACH; INTRINSIC MODE FUNCTIONS; LOOSENESS; MECHANICAL COMPONENTS; MODELING PROCESS; OPERATING MACHINERIES; POST PROCESSING; ROTOR-BEARING; TEST RIGS; VIBRATION SIGNAL;

FAILURE ANALYSIS; FREQUENCY BANDS; ROTATING MACHINERY; SIGNAL PROCESSING; VIBRATION ANALYSIS;

COMPUTER SIMULATION;

EID: 84859473389     PISSN: 10775463     EISSN: 17412986     Source Type: Journal    
DOI: 10.1177/1077546311411755     Document Type: Article

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