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Statistical Analysis of Seal Failures in Large Aircraft Engines for Enhanced Reliability

This project focuses on analyzing seal failure data from Pratt & Whitney's reliability efforts in large aircraft engines. A comprehensive evaluation using statistical methods, including MINITAB for descriptive statistics and best-fit distribution analysis, was conducted. The study determined the existing seal design's reliability and established a baseline for new designs under development. Monte Carlo simulations in Excel indicated the predictability of the failure data, showcasing an exponential distribution as the best fit. Recommendations include increasing test samples to better understand failure trends and variability.

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Statistical Analysis of Seal Failures in Large Aircraft Engines for Enhanced Reliability

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Presentation Transcript

  1. Failure of SealsDesigned for a Large Aircraft Engine Bart Young Statistical Methods for Reliability Engineering Summer 2008 Term Project

  2. Description / Objective • Data from Pratt & Whitney Reliability Engineering Group • Large Aircraft Engine Seal Failure Data • Tested to Failure / Hours Recorded • Determine Existing Seal Design Reliability • Analysis Results to Serve as Baseline for New Design Under Development

  3. Methodology • MINITAB ANALYSIS • Compute Descriptive Statistics • Select the Best-Fit Distribution • Determine Distribution Parameters • MAPLE CALCULATIONS • Calculate Analytical Reliability Expressions • EXCEL SIMULATION • Perform Monte Carlo Simulation

  4. Results / Summary • Exponential Distribution Best Fit • Monte Carlo Shows Good Predictability • MTTF: Component (325), System (108) • Large Standard Deviation • Recommend: • Increased Test Samples • Failure Trend Details

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