APU FMEA Validation Using Operation and Maintenance Data
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
FMEA(Failure Mode and Effects Analysis) is a systematic method of identifying and preventing system, product and process problems. As a standard document, FMEA is produced during the design of products or systems. However, FMEA documentation is rarely validated or updated in practice after it was generated. FMEA validation remains a challenge. In this technical report, we propose to validate FMEA using historical operation and maintenance data. First, we need to verify linkages between FMEA and corresponding operational and maintenance data. Based on statistical results obtained from historic operational data, we update useful FMEA parameters such as Failure Rate and Failure Mode Probability. The updated FMEA can provide more reliable information that could benefit the decision-making process and making maintenance a more efficient practice. The paper briefs the initial investigation and some preliminary results from APU FMEA case study
How to Cite
##plugins.themes.bootstrap3.article.details##
electronic systems, failure modes effects and criticality analysis (FMECA), PHM system design and engineering
H. C. Chen (1996), Failure Modes and Effects Analysis Training Manual, Personal communication, Hen Technology Inc, USA.
G. Peter and D. Rosner (1999), Towards TaskOriented User Support for Failure Mode and Effects Analysis, in Proceeding of IEA/AIE 1999, pp. 266-275.
M. Murri, M. Tavassi and A. D. Marzo( 2005), Online Plant Diagnosis system Combining FMEA Techniques and Data-Models, in Proceedings of international Conference on Experiment, Process, System Modeling, Simulation, Optimization, Athens, July, 2005.
N. D. Abajo and A. B. Diez ( 2004), ANN Quality Diagnostic Models for Packaging manufacturing: An Industrial Data Mining Case Study, InProceeding of KDD 2004, pp. 799-804.
P.C. Teoh and K. Case (2005), An Evaluation of Failure Modes and Effects Analysis Generation Method for Conceptual Design. International Journal of Computer Integrated Manufacturing. Vol. 18, No. 4, pp.279-293
I. Ruiz, E. Paniagua, J. Alberto, and J. Sanabria (2000), State Analysis: An Alternative Approach to FMEA, FAT and Markov Analysis. In Proceedings of the Annual Reliability and maintainability Symposium, pp. 370-375
N. Sellappan and R. Sivasubramanian (2008), Modified Method for Evaluation of Risk Priority Number in Design FMEA, The Icfai Journal of Operations Management, Vol. 7, No. 1, pp. 43-52, February 2008
ASENT FMEA Software (2009), FMEA RPN, available at http://www.fmea-fmeca.com/fmea-rpn.html, 200
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.