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Remaining Useful Life (RUL) Prediction of electrolytic Capacitor using Artificial Intelligence

of: Cherry Bhargava, Shivani Gulati

GRIN Verlag , 2018

ISBN: 9783668799127 , 111 Pages

Format: PDF

Copy protection: DRM

Windows PC,Mac OSX,Windows PC,Mac OSX geeignet für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's

Price: 34,99 EUR

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Remaining Useful Life (RUL) Prediction of electrolytic Capacitor using Artificial Intelligence


Master's Thesis from the year 2017 in the subject Engineering - Artificial Intelligence, grade: 9.00, Lovely Professional University, Punjab (Lovely professional university, Punjab), course: M.Tech, language: English, abstract: Residual life prediction is the technique which demonstrates how reliable a particular electronic system or component works under in specific operating conditions. The remaining useful life relies on the failure rate of a component and on the operating conditions of a device. This failure rate drifts for the duration of the life of the item with time. Life is an important aspect while choosing the electronic hardware. Residual life estimation and life prediction are two distinct terms. The importance of life estimation is to evaluate the remaining useful life of a specific component under the different stress parameters. As an increasing number of components are integrated on to a chip, the chances of failure increase, as the different parts have their own stress factors and different working conditions. So the condition monitoring strategies are utilized which enhances the reliability of a component and a suitable move to be made before any harmful breakdown happens. The electronic circuits need a failure estimation technique to protect the system from unavoidable failures. Residual life estimation of electronic components is an important fact these days as electronic components and devices becomes a great need of society. Residual life prediction is predicting the remaining useful life of a component or device based on various failure factors of any component and it also depends on the operating conditions. Many methods for predicting the life of electronic components have been developed. The life of electronic components can be predicted by creating an intelligent system for the failure analysis. The capability to predict the life of electronic components is a key to prevent the sudden costly failure and it will increase the overall performance and reliability of a system. So, remaining useful life prediction is an important factor for every active and passive electronic component such as resistor, capacitor and diode etc.