The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A novel adaptive denoising method based on ensemble empirical mode decomposition (EEMD) and zero-crossing detection is proposed and combined with energy moment and support vector machine(SVM) to apply in fault diagnosis. Firstly, with the method of EEMD, the non-stationary vibration signals are adaptively decomposed into a finite number of intrinsic mode functions(IMF), which can alleviate model mixing...
A feature extraction method based on empirical mode decomposition, approximate entropy is proposed. Firstly, the vibration signals are decomposed into a finite number of intrinsic mode functions by empirical mode decomposition. Then, by the means of approximate entropy, the complexity of the original and its intrinsic oscillation modes can be quantified, thereby the intrinsic mode complexity of reciprocating...
According to the non-stationary characteristics of the vibration signals from reciprocating machine and the situation that it's hard to obtain enough fault samples, a method based on empirical mode decomposition (EMD), auto regression(AR) mode, singular value decomposition (SVD) and support sector machine (SVM) is proposed in this paper. Firstly, with the help of EMD, the vibration signals are decomposed...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.