Applications-of-AI-for-Predictive-Maintenance

Applications-of-AI-for-Predictive-Maintenance

HROlive

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.

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92 Stars
24 Forks
92 Watchers
Jupyter Notebook Language
100 SrcLog Score
Cost to Build
$52.6K
Market Value
$110.3K
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Growth over time

1 data points  ·  2026-04-08 → 2026-04-08
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What is the HROlive/Applications-of-AI-for-Predictive-Maintenance GitHub project? Description: "Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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