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.
Fault diagnosis based on artificial intelligence techniques often deals with uncertain knowledge and incomplete input data. Probability reasoning is a method to deal with uncertain information, and Bayesian network is a tool that brings it into the real world applications. This paper describes the application of Bayesian network for diagnosing faulty components from engineered systems. A general procedure...
In this paper Gulf of Mexico wind conditions are analyzed to distinguish suitable regions for wind farm development. A turbine merit rating parameter is introduced to evaluate the combined effects of rotor size, turbine rating and economical boundary conditions. An analytical approach is then taken to match local site conditions with a suitable wind turbine rating and rotor size configuration. Hurricane...
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.