Abstract
The feature extraction is one of key steps in fault diagnosis. A method of least square support vector machine (LSSVM) is put forward based on genetic optimization to restrain the end effect of empirical mode decomposition (EMD). Based on the method, a method of feature extraction is put forward. The energy of intrinsic mode functions (IMF) generated from EMD is to be the feature to distinguishing faults. The result of feature extraction experiment of analog circuit shows that the method is effective.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
