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A series of small case studies examining datasets which have experienced censoring

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Censored Dataset Analysis Case-Studies

License: MIT

Description

This project consists of various censored-data analysis case studies in Python. The datasets used come from Reliability and Risk Analysis (Modarres, Kaminskiy & Krivtsov, 2016).

Usage/Installation

  1. Download the project: https://git-scm.com/book/en/v2/Git-Basics-Getting-a-Git-Repository
  2. Download & Install Jupyter: https://jupyter.org/install
  3. Run the Jupyter Notebook(s) titled FailureTimeNoExplanatory.ipynb or FailureTimeWithExplanatory.ipynb

Notebooks

There are currently 2 different notebooks in this project:

  1. FailureTimeNoExplanatory
  • Example 1: Integrated Circuit Life Test Data
  • Example 2: Circuit Pack Reliability Field Trial
  • Example 3: Diesel Generator Fan Failure Data
  • Example 4: Heat Exchanger Tube Crack Data
  • Example 5: Transmitter Vacuum Tube Data
  • Example 6: Turbine Wheel Crack Initiation Data
  1. FailureTimeWithExplanatory
  • Example 1: Printed Circuit Board Accelerated Life Test Data
  • Example 2: Accelerated Test of Spacecraft Nickel-Cadmium Batttery Cells

Authors and acknowledgment

All analysis has been originally completed by Michael Nefiodovas in 2022. Analysis steps and procedures inspired by Reliability engineering and risk analysis (Modarres, Kaminskiy & Krivtsov, 2016). All developments were funded by Melinda Hodkiewicz's BHP Fellowship.

License

This project is licensed under the permissive MIT license.

References

Modarres, M., Kaminskiy, M., & Krivtsov, V. (2016). Reliability engineering and risk analysis (3rd ed.). New York: CRC Press.

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