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.
A new framework to design model-based prognosis for hybrid systems with unknown mode changes is proposed in this paper. The key step is the construction of an interacting diagnostic hybrid bond graph-particle filter (IDHBG-PF) module in the framework. In the module, the diagnostic hybrid bond graph (DHBG) part is employed for mode tracking after fault occurrence and fault isolation, and the particle...
This paper presents a method for the identification of the fault parameters of hybrid systems with unknown mode changes after fault occurring. The identification method utilizes genetic algorithm (GA) to identify fault parameters and unknown mode changes simultaneously based on global analytical redundancy relation (GARR). Fault parameters and mode change time of all switches are encoded into one...
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.