Title :
The Research and Application on Wavelet Energy Eigenvalues of a Faulty Generator Set
Author_Institution :
Nanjing Univ. of Inf. Sci. & Technol., Nanjing
Abstract :
I studied the fault feature of the generator set and the characteristics of wavelet packet theory for signal de-noising, and give a method of "energy-fault". The vibration signal of the generator set in different states is analyzed by using the signal re-construction technique of the wavelet packet theory. The time domain method is given for the generator set fault diagnosis. The analysis shows, the "energy-fault" diagnosis which is based on wavelet theory is dependable and applied in the vibration fault diagnose of the generator set, and is a good assistant of fault diagnostic. The experiment results show that the wavelet packet theory can be used to directly identify the state of the generator set, and provide a credible new idea for complex machinery fault diagnosis.
Keywords :
eigenvalues and eigenfunctions; electric generators; fault diagnosis; power generation faults; signal denoising; signal reconstruction; wavelet transforms; energy-fault method; faulty generator set; signal denoising; signal reconstruction; vibration signal; wavelet energy eigenvalues; wavelet packet theory; Eigenvalues and eigenfunctions; Fault diagnosis; Frequency; Petroleum; Rotors; Shafts; Signal analysis; Signal generators; Vibrations; Wavelet packets; Complex machinery; Fault diagnosis; Generator set; Wavelet packet;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347539