A combined anomaly detection and failure prognosis approach for estimation of remaining useful life in energy storage devices

Proceedings of the Annual Conference of the Prognostics and Health Management Society 2011, PHM 2011

Volumn , Issue , 2014, Pages 8-14

  Orchard, Marcos E ^a   Tang, Liang ^b   Vachtsevanos, George ^c  

^a UNIVERSITY OF CHILE   (Chile)

^b IMPACT TECHNOLOGIES LLC   (United States)

^c GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BATTERY MANAGEMENT SYSTEMS; ENERGY STORAGE; FAULT DETECTION;

ANOMALY DETECTION; FAILURE PROGNOSIS; FAULT CONDITIONS; FEED-BACK CORRECTION; LONG-TERM PREDICTION; ON-LINE ESTIMATION; REMAINING USEFUL LIVES; UNCERTAINTY REPRESENTATION;

DIGITAL STORAGE;

EID: 84920507575     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Andrieu, C., A. Doucet, E. Punskaya, (2001). "Sequential Monte Carlo Methods for Optimal Filtering, " in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. NY: Springer-Verlag.
2. Arulampalam, M.S., S. Maskell, N. Gordon, T. Clapp, (2002). "A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking, " IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174-188.
3. Doucet, A., (1998). "On sequential Monte Carlo methods for Bayesian Filtering, " Technical Report, Engineering Department, Univ. Cambridge, UK.
4. Doucet, A., N. de Freitas, N. Gordon, (2001). "An introduction to Sequential Monte Carlo methods, " in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. NY: Springer-Verlag.
5. Orchard, M., G. Kacprzynski, K. Goebel, B. Saha, G. Vachtsevanos, (2008). "Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics, " 2008 International Conference on Prognostics and Health Management PHM 2008, Denver, CO, USA.
6. Orchard, M., (2009). On-line Fault Diagnosis and Failure Prognosis Using Particle Filters. Theoretical Framework and Case Studies, Publisher: VDM Verlag Dr. Müller Aktiengesellschaft & Co. KG, Saarbrücken, Germany, 108 pages. Atlanta: The Georgia Institute of Technology, Diss., 2007.
7. Orchard, M. G. Vachtsevanos, (2009). "A Particle Filtering Approach for On-Line Fault Diagnosis and Failure Prognosis, " Transactions of the Institute of Measurement and Control, vol. 31, no. 3-4, pp. 221-246.
8. Orchard, M., F. Tobar, G. Vachtsevanos, (2009). "Outer Feedback Correction Loops in Particle Filtering-based Prognostic Algorithms: Statistical Performance Comparison, " Studies in Informatics and Control, vol.18, Issue 4, pp. 295-304.
9. Orchard, M., L. Tang, K. Goebel, G. Vachtsevanos, (2009). "A Novel RSPF Approach to Prediction of High-Risk, Low-Probability Failure Events, " First Annual Conference of the Prognostics and Health Management Society, San Diego, CA, USA.
10. Patrick, R., M. Orchard, B. Zhang, M. Koelemay, G. Kacprzynski, A. Ferri, G. Vachtsevanos, (2007). "An Integrated Approach to Helicopter Planetary Gear Fault Diagnosis and Failure Prognosis, " 42nd Annual Systems Readiness Technology Conference, AUTOTESTCON 2007, Baltimore, USA.
11. Verma, V., G. Gordon, R. Simmons, S. Thrun, (2004). "Particle Filters for Rover Fault Diagnosis, " IEEE Robotics & Automation Magazine, pp. 56-64.
12. Vachtsevanos, G., F.L. Lewis, M.J. Roemer, A. Hess, B. Wu, (2006). Intelligent Fault Diagnosis and Prognosis for Engineering Systems, Hoboken, NJ, John Wiley and Sons.
13. Zhang, B., T. Khawaja, R. Patrick, M. Orchard, A. Saxena, G. Vachtsevanos, (2009). "A Novel Blind Deconvolution De-Noising Scheme in Failure Prognosis, " IEEE Transactions on Instrumentation and Measurement, vol. 58, no. 2, pp. 303-310.