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).
- Download the project: https://git-scm.com/book/en/v2/Git-Basics-Getting-a-Git-Repository
- Download & Install Jupyter: https://jupyter.org/install
- Run the Jupyter Notebook(s) titled
FailureTimeNoExplanatory.ipynb
orFailureTimeWithExplanatory.ipynb
There are currently 2 different notebooks in this project:
- 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
- FailureTimeWithExplanatory
- Example 1: Printed Circuit Board Accelerated Life Test Data
- Example 2: Accelerated Test of Spacecraft Nickel-Cadmium Batttery Cells
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.
This project is licensed under the permissive MIT license.
Modarres, M., Kaminskiy, M., & Krivtsov, V. (2016). Reliability engineering and risk analysis (3rd ed.). New York: CRC Press.