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A machine learning model for predicting asset failure
Discover why machine learning is a must for true predictive maintenance
Read this paper to learn how machine learning can help you:
Streamline your maintenance activities
Extend the life of your assets
Get better returns on your capital investments
Lower maintenance and operating costs
Increase productivity
Optimize business outcomes with reliable predictions about asset failures
Predictive maintenance software promises to help industries determine when to repair or replace their assets. But most software solutions base their predictions on statistical averages. These predictions can be unreliable.
This paper shows how machine learning models can overcome the limitations of statistical averages. It describes how these models can analyze each unit’s behavior, condition and past failures to determine how and when it will fail in the future. The results are reliable predictions that enable industries to optimize business outcomes.
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