IEEE - Institute of Electrical and Electronics Engineers, Inc. - GFRBS-PHM: A Genetic Fuzzy Rule-Based System for PHM with improved interpretability

2013 IEEE Conference on Prognostics and Health Management (PHM)

Author(s): Rogerio Ishibashi ; Cairo Lucio Nascimento Junior
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2013
Conference Location: Gaithersburg, MD, USA
Conference Date: 24 June 2013
Page(s): 1 - 7
ISBN (CD): 978-1-4673-5722-7
ISBN (Electronic): 978-1-4673-5723-4
DOI: 10.1109/ICPHM.2013.6621419
Regular:

This paper presents an approach to predict the Remaining Useful Life (RUL) of a generic system when a higher level of interpretability of the prediction model is desired. A set of well known... View More

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