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Related Experiment Videos

Tracking reliability for space cabin-borne equipment in development by Crow model.

J D Chen1, S J Jiao, H L Sun

  • 1Institute of Space Medico-Engineering, Beijing, China.

Hang Tian Yi Xue Yu Yi Xue Gong Cheng = Space Medicine & Medical Engineering
|March 13, 2002
PubMed
Summary

This study introduces a new method to track and predict the reliability growth of spaceflight equipment during development. The Crow-TDC model accurately estimated and predicted equipment reliability, aiding quality control.

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Area of Science:

  • Aerospace Engineering
  • Systems Engineering
  • Reliability Engineering

Background:

  • Manned spaceflight cabin-borne equipment requires rigorous reliability assessment.
  • Existing methods may not fully capture dynamic reliability growth during development.

Purpose of the Study:

  • To develop and evaluate a novel technique for estimating and predicting the reliability growth of spaceflight equipment.
  • To enable dynamic tracking of reliability during the design and development phases.

Main Methods:

  • A new reliability growth estimation and prediction technique was employed.
  • This technique integrates the Crow model with the Test Data Conversion (TDC) method.

Main Results:

  • The reliability growth estimation and prediction values aligned with expectations.

Related Experiment Videos

  • The developed method successfully tracked equipment reliability growth.

    • Conclusions:

    • The Crow-TDC method dynamically estimates and predicts equipment reliability using diverse test data.
    • This approach provides valuable insights for quality control in spaceflight equipment development.