Amplitude envelope analysis for feature extraction of power plant blower bearing failure
Control and Decision Conference（2014）
Abstract
Bearing vibrations of a power plant blower have random characteristics with stark noise, which make it difficult for fault feature extraction both by using vibration effective data of monitoring system and vibration analysis function of a portable measuring instrument. Made use of the vibration signals which were measured from a normal blower and a fault one, the vibration characteristics of fault impeller rotor support bearing were analyzed and studied. From time domain, frequency domain and cepstrum domain, the vibration signal characteristics were analyzed and compared between normal and fault units. Then narrowband envelope analysis had been made. The difference of envelope spectrum for vibration signals between normal and fault units was revealed. The results show that narrowband envelope analysis can effectively identify the bearing fault state.
MoreTranslated text
Key words
fault diagnosis,feature extraction,impellers,machine bearings,mechanical engineering computing,power plants,rotors (mechanical),signal processing,vibrations,amplitude envelope analysis,bearing vibrations,cepstrum domain,fault feature extraction,fault impeller rotor support bearing,frequency domain,narrowband envelope analysis,power plant blower bearing failure,stark noise,time domain,vibration analysis function,vibration effective data,vibration signal characteristics,bearing fault,envelope analysis,narrowband filtering,power plant blower
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined