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.
Maintenance interval is one of the most important indexes in equipment maintenance strategy. In the traditional planned maintenance strategy, maintenance interval is often predicted by the way of statistical theory. This method lacks flexibility and can not adjust maintenance intervals according to the actual situation of maintenance. It will easily lead to an under-maintenance or over-maintenance...
Neural network ensemble is a recently developed technology, which trains a few of neural networks and then combines their prediction results. The generalization ability of an ensemble can be much better than that of a single learner. However, it is time-consuming to train so many neural networks. In order to overcome this disadvantage, MPI (Message Passing Interface) technique was employed to the...
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.