This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Application of Non-Parametric Statistical Methods to Reliability Database Analysis
ISSN: 0148-7191, e-ISSN: 2688-3627
Published September 17, 2007 by SAE International in United States
Annotation ability available
An extensive reliability and maintenance data base has been compiled for a gas turbine engine used for propulsion of a fleet of military aircraft, covering a full eight years of operational service. Non-parametric statistical tools were applied to analyze the engine flight line removal data set contained in this data base. This analysis was directed towards eliciting information useful in managing maintenance and design change activity directed to enhancing aircraft reliability and availability.
Intensive preventive maintenance, high levels of “censoring” due to the phased buildup of the fleet of aircraft and the modular maintenance policy applied to this military engine introduced significant conceptual and practical challenges that required innovations in data treatment and analysis. The resultant analysis toolset is defined and some results described.
The results show the tools' utility and suitability for the purpose intended, the visualization and quantification of the hazard function for classes of unplanned engine removals in the context of intensive preventive maintenance. These non-parametric approaches can assist in forecasting future removal rates and causes as a function of the usage of engines scheduled for inspection, and assess the effectiveness of preventive maintenance.
|Technical Paper||AeroNet - The Aviation Industry Network|
|Technical Paper||Measurement of SEA Damping Loss Factor for Complex Structures|
|Technical Paper||Flight Tests Telemetry Link for Small and Medium Aircrafts|
CitationMillar, R., Mazzuchi, T., and Sarkani, S., "Application of Non-Parametric Statistical Methods to Reliability Database Analysis," SAE Technical Paper 2007-01-3861, 2007, https://doi.org/10.4271/2007-01-3861.
- Millar, R.C. Mazzuchi, T.A. Sarkani, S. “A Survey of Advanced Methods for Analysis and Modeling of Propulsion System” ASME Turbo Expo 2007 May 14-17 Montreal, Canada
- Millar, Richard C. “Non-parametric Analysis of a Complex Propulsion System Data Base” George Washington University June 2007
- Lawless, J.F. Statistical Models and Methods for Lifetime Data 2nd John Wiley & Sons Hoboken, New Jersey 2003
- Lawless, J.F. “Statistical Methods in Reliability” Technometrics 25 4 November 1983
- Bunea, C. Mazzuchi, T.A. Sarkani, S. Chang, H-C. “Application of Modern Reliability Database Techniques to Military System Data” George Washington University working paper 2005
- Bunea, C. Cooke, R. Lindqvist, B.H. “Competing Risk Perspective Over Reliability Databases” Mathematical and Statistical Methods in Reliability World Scientific Publishing 415 430 2002
- Cooke, R.M. “The Design of Reliability Data Bases, Part II: Competing Risk and Data Compression” Reliability Engineering and System Safety 51 209 223 1996
- Crowder, M..J. Classical Competing Risks Chapman & Hall/CRC Boca Raton 2001