Methods for Determining Performance Expectations and Optimal No Build Times of Fielded Jet Engines.

Abstract

This thesis investigates methods for determining fielded jet engine performance expectations. Data exported from the Naval Aviation Logistics Data Analysis (NALDA) data base was fitted by a Weibull distribution to obtain the engine probability density function, cumulative density function, mean time between failure, failure rate, and condition reliabilities. The thesis applies the results of the data analysis by using a commercial software package, Mathcad, to find the solution to an optimizing equation for average maintenance cost per hour of engine critical component operation. The solution yields optimum no build times given the component's hard time, ratios of several inspection/repair cost factors, and properties of the failure time probability distributions of the engine and component. The goal is to economize resources by inspecting life limited components when they are available after having accumulated a predetermined number of operating hours. The procedures developed can be used for any aircraft engine or any mechanical component with failure data that can be fitted to a Weibull distribution and with maintenance cost ratios that fit the model presented herein.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1996
Accession Number
ADA311627

Entities

People

  • Mark E. Mlikan

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircraft Engines
  • Aircrafts
  • Computer Programs
  • Data Analysis
  • Databases
  • Engines
  • Jet Engines
  • Maintenance
  • Maintenance Costs
  • Mechanical Components
  • Naval Aviation
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Reliability

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
  • Logistics and Supply Chain Management.
  • Regression Analysis.