A New Statistical Approach for Cyclic Life Tracking of Engine Critical Parts

Abstract

This paper describes a flight data based statistical method that allows missing low cycle fatigue data in engine critical parts to be filled in with appropriate values that are not overly conservative but still ensure flight safety. The derived criterion resembles the Student's t-function in that it provides an estimate of the population mean given the sample mean. It differs from the Student's t-function in the following manner. This "t-function" is dependent upon two independent parameters, the number of samples and the percent of data captured; whereas, the Student's t-function depends only on the number of samples. When the capture rate is relatively low, this methodology can save many critical parts from early mandatory retirement.

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Document Details

Document Type
Technical Report
Publication Date
Apr 29, 1999
Accession Number
ADA368693

Entities

People

  • Robert L. Kiang

Organizations

  • Naval Air Warfare Center

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aerial Warfare
  • Aircrafts
  • Data Analysis
  • Data Sets
  • Engine Components
  • Engines
  • Gas Turbines
  • Gaussian Distributions
  • High Pressure
  • Information Science
  • Maintenance Costs
  • Military Aircraft
  • Probability
  • Recording Systems
  • Software Testing
  • Turbines
  • Turbofan Engines

Readers

  • Aerospace Engineering
  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computational Modeling and Simulation