hustcxl/Rotating-machine-fault-data-set resource

Health v2 · maintenance only

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Adoption not part of the score

1212 stars · 307 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of open rotating machinery fault diagnosis datasets, including bearing and gearbox vibration data from CWRU, MFPT, Paderborn, FEMTO-ST, IMS, XJTU-SY, and many other academic sources. It organizes download links and usage notes rather than hosting the raw data itself.

Use cases

• find bearing vibration datasets for fault diagnosis research
• download CWRU bearing dataset for machine learning experiments
• get bearing degradation data for remaining useful life prediction
• compare gearbox fault datasets for deep learning models
• find open data for PHM and condition monitoring research
• locate MAFAULDA or Paderborn bearing dataset download links

When to choose

• you need benchmark vibration datasets for bearing or gearbox fault diagnosis
• you are starting PHM research and need standard datasets like CWRU or FEMTO-ST
• you want a single index of many open rotating machinery fault data sources

When to avoid

• you need the raw data hosted directly in the repository
• you need non-rotating-machinery sensor or image datasets
• you need ready-made trained models or diagnosis code

Facets

dataset · maturity active

data-science machine-learning analytics machine-learning data-science simulation cross-platform bearing-fault-diagnosis vibration-signals condition-monitoring phm rotating-machinery curated-list prognostics

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markdown · JSON · MCP: product_card(name="hustcxl/Rotating-machine-fault-data-set")