Fleet Preventive Maintenance Models with Age-Reduced NHPP for Doubly-Censored Data

Suk Joo Bae published a dataset on 2026-04-08, containing data and models for optimizing preventive maintenance schedules for a fleet of repairable systems. The 95.7 KB dataset includes files in CSV, TXT, XLSX, and R formats, applying mixed-effects and frailty frameworks to nonhomogeneous Poisson process models for failure data. It is intended for reliability prediction and cost optimization over a system's lifespan.

Use Cases

• Optimizing aperiodic preventive maintenance schedules based on the proposed age-reduced NHPP models.
• Modeling between-system variation in failure rates using the described mixed-effects or frailty frameworks.
• Predicting system reliability for doubly-censored or bathtub-shaped recurrent failure patterns.
• Minimizing expected total maintenance cost per unit of time for a population of same-typed systems.

Strengths

• Dataset is 95.7 KB, indicating a focused and manageable size for analysis.
• Includes data in multiple formats (CSV, TXT, XLSX, R) for flexibility.
• Published under a permissive CC-BY-4.0 license for open use.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is technical but does not specify the exact variables or sample data included.

Provenance

Source

figshare, authored by Suk Joo Bae.

Collection Method

Likely contains analytical data and model outputs from the described research on maintenance optimization.

Freshness

Last updated 2026-04-08 20:16:42; freshness should be verified.