Title :
The application of matching pursuit to extract vibration signalfeature
Author :
Lingli Cui;Chunqing Ma;Na Wu
Author_Institution :
Beijing University of Technology, Beijing Key Laboratory of Monitoring and fault diagnosis, Beijing, China
Abstract :
It has become the main direction equipment fault diagnosis to extract the signal character from the fault vibration signals using signal processing methods in the field of mechanical. This paper compares and analyzes the matching pursuit methods based on the Impulse Time-frequency Dictionary for bearing faults, using the Impulse Time-frequency Single Dictionary (ITSD) and the Impulse Time-frequency Composite Dictionary (ITCD) for decomposition of vibration signal measured by acceleration sensors, respectively. Firstly, two kinds of dictionaries are constructed based on the generation mechanism and characteristics of fault vibration signals of bearing. Then, the analysis results of simulation signals indicated the effectiveness of ITCD, and the impulse or harmonic characteristic components could be separately extracted.
Keywords :
"Dictionaries","Matching pursuit algorithms","Time-frequency analysis","Vibrations","Fault diagnosis","Sociology","Statistics"
Conference_Titel :
Computer and Computational Sciences (ICCCS), 2015 International Conference on
Print_ISBN :
978-1-4799-1818-8
DOI :
10.1109/ICCACS.2015.7361331