Reliability Analysis of the 4.5 Roller Bearing

Abstract

The J-52 engine used in the EA-6B Prowler has been found to have a faulty design which has led to in-flight engine failures due to the degradation of the 4.5 roller bearing. Because of cost constraints, the Navy developed a policy of maintaining rather than replacing the faulty engine with a re-designed engine. With an increase in Prowler crashes related to the failure of this bearing, the Navy has begun to re-evaluate this policy. This thesis analyzed the problem using methods in reliability statistics to develop policy recommendations for the Navy. One method analyzed the individual times to failure of the bearings and fit the data to a known distribution. Using this distribution, we estimated lower confidence bounds for the time which 0.0001% of the bearings are expected to fail, finding it was below fifty hours. Such calculations can be used to form maintenance and replacement policies. Another approach analyzed oil samples taken from the J-52 engine. The oil samples contain particles of different metals that compose the 4.5 roller bearing. Linear regression, classification and regression trees, and discriminant analysis were used to determine that molybdenum and vanadium levels are good indicators of when a bearing is near failure.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2003
Accession Number
ADA417534

Entities

People

  • Cole Miller

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Aircrafts
  • Bearings
  • Computer Programs
  • Data Analysis
  • Data Mining
  • Data Science
  • Discriminant Analysis
  • Elements
  • Information Science
  • Knowledge Management
  • Metals
  • Normal Distribution
  • Reliability
  • Roller Bearings
  • Statistical Algorithms
  • Statistics
  • United States Naval Academy

Fields of Study

  • Engineering

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