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.
Early and accurate detection of rotor faults is crucial for optimal performance of rotating machinery. Unbalance and misalignment are the most common faults occurring in the machinery. Using vibration-based conventional frequency analysis methods, it is often difficult to identify these faults because they exhibit similar frequency patterns. The balancing procedure of an unbalanced rotor is based...
A new diagnostic scheme is presented for ball bearing localized faults based on pattern recognition (PR) methods, which utilize preprocessed time domain features. The features are statistically processed (FP) using their central tendency (CT) estimations, prior to the classification process. Vibration data is acquired from faulty bearings, and the features are extracted to form data set. The FP algorithm...
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.