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 situations where the vibration sensor is not suitable to be used and while fault diagnosis method based on vibration signal processing has limitaions, KPCA fault diagnosis method based on sound signal is proposed. The basic theory of kernel principal component analysis and its basic procedures for fault detection are introduced and sound signal pre-processing is depicted, multi-domain feature vector...
It is critical in fault diagnosis to extract the feature vector of fault signal effectively and to find the sensitive factors. Therefore, a series of vibration signals are collected at pump end cover under some faults, such as loose sliding shoe, sliding shoe wear, sloping cam plate wear plate and the center spring failure, etc. Then, low frequency signals are obtained by means of suitable signal...
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.