biswajitsahoo1111/rul_codes_open
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
This project helps maintenance engineers and operations managers predict how much longer industrial equipment will run before needing service or replacement. By inputting sensor data and historical performance logs, you get an estimate of the remaining useful life for machinery. This allows for proactive maintenance scheduling, reducing unexpected downtime and operational costs.
217 stars. No commits in the last 6 months.
Use this if you manage industrial assets and want to predict equipment failure using historical operational data to optimize maintenance schedules.
Not ideal if you need a real-time monitoring system or predictive maintenance solution that doesn't rely on historical data analysis.
Stars
217
Forks
49
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 05, 2025
Commits (30d)
0
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