Research Materials

Data and Scripts for the RESS 2026 Article

Companion materials for Variable-length multiobjective optimization of inspection schedules for condition-based maintenance of vertical-cavity surface-emitting lasers under imperfect detection. The processed laboratory data and analysis scripts supporting the remaining numerical results are provided here for reference and scholarly use.

Download ZIP ScienceDirect Package Contents

Package Contents

Archive file: RESS202606.zip. The package includes processed datasets and standalone Python scripts corresponding to the manuscript case studies.

Processed data

  • data/laserdata.csv
  • data/GaAsLaser.csv
  • data/pod_hitmiss_mh1823_example3.csv

Analysis scripts

  • scripts/case1_single_inspection_data.py
  • scripts/case2_two_inspection_optimization.py
  • scripts/case3_fixed_length_optimization.py
  • scripts/case4_variable_length_optimization.py

Reference

When using the shared files, please cite the article and include this companion URL where appropriate.

C. C. Zhang, X. Feng, and H. Zhang, “Variable-length multiobjective optimization of inspection schedules for condition-based maintenance of vertical-cavity surface-emitting lasers under imperfect detection,” Reliability Engineering & System Safety, vol. 277, Art. no. 113039, 2026. Companion materials: https://chizhizhang.github.io/src/