GFRBS-PHM: A genetic fuzzy rule-based system for phm with improved interpretability

PHM 2013 - 2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings

Volumn , Issue , 2013, Pages

  Ishibashi, Rogério ^a   Júnior, Cairo Lúcio Nascimento ^a  

^a INSTITUTO TECNOLÓGICO DE AERONÁUTICA   (Brazil)

Author keywords

Genetic Fuzzy Rule Based System; Interpretability; Knowledge Extraction; Prognostic and Health Management

Indexed keywords

AERONAUTICAL ENGINES; COMMERCIAL AIRCRAFT; COMPUTATIONAL INTELLIGENCE TECHNIQUES; GENETIC-FUZZY; INTERPRETABILITY; KNOWLEDGE EXTRACTION; PROGNOSTIC AND HEALTH MANAGEMENT; REMAINING USEFUL LIVES;

AIRCRAFT ENGINES; ARTIFICIAL INTELLIGENCE; DECISION TREES; FUZZY LOGIC; GENETIC ALGORITHMS; SYSTEMS ENGINEERING;

FUZZY RULES;

EID: 84888871411     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPHM.2013.6621419     Document Type: Conference Paper

References (12)

1. Ishibashi, R.; Nascimento Jr., C. L.; "Knowledge extraction using a genetic fuzzy rule-based system with increased interpretability". 2012 IEEE 10th International Symposium on Applied Machine Intelligence and Informatics (SAMI 2012), pp. 247-252, 26-28 January 2012.
2. Ishibuchi, H.; Nojima, Y.; "Analysis of interpretability-accuracy trade of fuzzy systems by multi-objective fuzzy genetics-based machine learning". International Journal of Approximate Reasoning, Vol. 44, no. 1, pp. 4-31, January 2007.
3. Pulkkinen, P.; Koivisto, H.; "A dynamically constrained multi-objective genetic fuzzy system for regression problems". IEEE Transactions on Fuzzy Systems, Vol. 18, no. 1, pp. 161-177, February 2010.
4. Mencar, C.; Castellano, G.; Fanelli, A. M.; "Some fundamental interpretability issues in fuzzy modeling". 4th Conference of the European Society for Fuzzy Logic and Technology, pp. 100-105, September 2005.
5. Gacto, M. J.; Alcalá, R.; Herrera, F.; "Integration of an index to preserve the semantic interpretability in the multi-objective evolutionary rule selection and tuning of linguistic fuzzy systems". IEEE Transactions on Fuzzy Systems, Vol. 18, no. 3, pp. 515-531, June 2010.
6. Ishibuchi, H.; Nojima, Y.; "Discussions on Interpretability of Fuzzy Systems using Simple Examples". 2009 International Fuzzy Systems Association World Congress, pp. 1649-1654, July 2009.
7. Das, S.; Hall, R.; Herzog, S.; Harrison, G.; Bodkin, M.; "Essential steps in prognostic health management". 2011 IEEE International Conference on Prognostics and Health Management (IEEE PHM 2011), 20-23 June 2011.
8. Saxena, A.; Goebel, K.; Simon, D.; Eklund, N.; "Damage propagation modeling for aircraft engine run-to-failure simulation". 2008 IEEE International Conference on Prognostics and Health Management (IEEE PHM 2008), 6-9 October 2008.
9. Heimes, F. O.; "Recurrent neural networks for remaining useful life estimation". 2008 IEEE International Conference on Prognostics and Health Management (IEEE PHM 2008), 6-9 October 2008.
10. Peel, L.; "Data driven prognostics using a Kalman filter ensemble of neural network models". 2008 IEEE International Conference on Prognostics and Health Management (IEEE PHM 2008), 6-9 October 2008.
11. Tianyi Wang; Jianbo Yu; Siegel, D.; Lee, J.; "A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems". 2008 IEEE International Conference on Prognostics and Health Management (IEEE PHM 2008), 6-9 October 2008.
12. Uckun, S.; Goebel, K.; Lucas, P.J.F.; "Standardizing research methods for prognostics". 2008 IEEE International Conference on Prognostics and Health Management (IEEE PHM 2008), 6-9 October 2008.