A Study of Flying Hours and Sorties as Predictors of B-52H Engine Failures

Abstract

The report attempts to show that engine failures are dependent upon some combination of historical flying hour and sortie data. A method of arrangement was undertaken which transformed the collected data into specific historical groupings. These specific groups of data were then statistically analyzed and a forecasting model developed. The statistical analysis was performed by application of multiple correlation and regression techniques to the data. The Biomedical Series, BMDO2R, Stepwise Multiple Regression package was chosen for use. The predictive power of the model was evaluated, the statistical assumptions tested, research conclusions drawn, and recommendations made for further studies.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1972
Accession Number
AD0743400

Entities

People

  • Charles L. Dow
  • Walter L. Schnee

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Computer Programs
  • Data Science
  • Databases
  • Information Science
  • Jet Aircraft
  • Knowledge Management
  • Logistics
  • Logistics Management
  • Management Personnel
  • Network Science
  • Plastic Explosives
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics
  • United States

Readers

  • Aerospace Test and Evaluation
  • Logistics and Supply Chain Management.
  • Regression Analysis.

Technology Areas

  • Biotechnology