Reliability Growth Analysis of Satellite Systems

Abstract

A reliability trend/growth analysis methodology for satellite systems is suggested. A satellite system usually consists of many satellites successively launched over many years, and its satellites typically belong to different satellite generations. This paper suggests an approach to reliability trend/growth data analysis for the satellite systems based on grouped data and the Power Law (Crow-AMSAA) Non- Homogeneous Poisson process model, for both one (time) and two (time and generation) variables. Based on the data specifics, the maximum likelihood estimates for the Power Law model parameters are obtained. In addition, the Cumulative Intensity Function (CIF) of a family of satellite systems was analyzed to assess its similarity to that of a repairable system. The suggested approaches are illustrated by a case study based on Tracking and Data Relay Satellite System (TDRSS) and Geostationary Operational Environmental Satellite (GOES) data.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2012
Accession Number
ADA588731

Entities

People

  • John W. Evans
  • Luis D. Gallo Jr
  • Mark P. Kaminskiy

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Satellites
  • Data Analysis
  • Data Science
  • Demographic Cohorts
  • Economic Forecasting
  • Ground Stations
  • Information Science
  • Intensity
  • Maximum Likelihood Estimation
  • Orbits
  • Regression Analysis
  • Reliability
  • Solar X Rays
  • Space Flight
  • Spacecraft
  • United States

Fields of Study

  • Engineering

Readers

  • Statistical inference.
  • Tactical Satellite Communications Systems Engineering.
  • Theoretical Analysis.

Technology Areas

  • Space
  • Space - Satellites