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.
In this paper, we attempted to classify the acceleration signals of different working states of bearings by using the wavelet-based fractal analysis. Considering the similarity of the power spectrums between bearing vibration signals and 1/f processes signals, the principles of wavelet-based fractal analysis for bearing fault diagnosis are explored. To verify the feasibility and practicability of...
This paper proposed a new feature extraction method based on independent component analysis (ICA) from one- dimensional signal. The ICA based feature corresponds to the higher-order statistics. It contains plentiful phase information and thus, has the merit in some applications. The new feature extraction is done in three steps: first, the ICA basis filters of one class signal are trained by a number...
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.