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 this paper, we propose an approach for failure prognosis by assessing the level of degradation and estimating the residual life before failure of a dynamic system. During its operation, an industrial process as a dynamic system evolves physically. This evolution can have an impact on the modes of operation: nominal, degraded or failure. The proposed approach is based on knowledge of the behavior...
Hybrid Electric Vehicles (HEV) are becoming widely spread due to the predicted lack of fuel in addition to the pollution caused by the conventional vehicles. To overcome pollution and since it is expected that the lack of fuel will more increase, it is assessed that the production and use of HEVs will increase in the coming years. The main concern of HEVs is their reliability and availability; hence,...
Data analysis and mining, through computer-based systems, achieved particular interest in the area of healthcare in the last years, where it has been shown to produce high levels of accuracy. The variety of available techniques is nowadays applied interchangeably with success on almost every healthcare domain, but mostly for diagnosis. Indeed, the results achieved on prognosis through the same techniques...
The technology of prognosis has become a significant approach but its implementation in maintenance has a major extension. The ability prognosis in the medical area has been established to estimate the future of human health. However, in maintenance, application of prognosis is not yet seen as a practical use for making better maintenance decision. To date, research in this area has been done in proposing...
This paper deals with the prognosis of gear faults in DC machines using time frequency distribution methods. The proposed method presents future state prediction of the machine faults using Hidden Markov models. Different methods for estimating the parameters of hidden Markov model with limited data are discussed. The proposed method uses Matching Pursuit decomposition and projections of the training...
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.