# Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management

arXiv: https://arxiv.org/abs/2403.13694 · HTML: https://mlsanity.com/paper/2403.13694/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Mar 2024.

## Built on by (most cited first, 2 of 2)

- [Marine Engine Fault Dataset: Open-Access Data under Controlled Reference and Fault Scenario Conditions](https://mlsanity.com/paper/2607.19444/) (2026)
- [A method to benchmark high-dimensional process drift detection](https://mlsanity.com/paper/2409.03669/) (2024)

## Abstract (arXiv)

Central to the efficacy of prognostics and health management methods is the acquisition and analysis of degradation data, which encapsulates the evolving health condition of engineering systems over time. Degradation data serves as a rich source of information, offering invaluable insights into the underlying degradation processes, failure modes, and performance trends of engineering systems. This paper provides an overview of publicly available degradation data sets.