By Topic

An approach to study the reliability of IRES using Markov models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Srinivasan, H. ; Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA ; Chinnaswarny, M.R. ; Ramakumar, R.

Markov models are memoryless and are used to study systems whose future probabilistic behavior is uniquely determined by their present state. This property is extremely useful in the analysis of many complex engineering systems. It is proposed to employ this type of model to study and assess the performance of an Integrated Renewable Energy System (IRES). An IRES utilizes two or more renewable energy resources, conversion technologies, and end-use technologies to supply a variety of energy and other needs in remote areas. There will be multiple inputs and outputs in different forms. Hierarchical Modeling Technique in which states are established based on primary failures, secondary failures etc. will be used. This model I will be helpful in assessing the performance of IRES in terms state probabilities and residence times.

Published in:

Region 5 Conference: Annual Technical and Leadership Workshop, 2004

Date of Conference:

2 April 2004