We develop a Terminus7 machine module dedicated to this use case of components lifespan prediction based on use patterns.
After Terminus7 training, in each case we tested our solution during several months. Terminus7 demonstrates to be able to predict single component failure, helping to extend component’s life beyond its end-of-life or anticipating breaks before they happened.
The final prediction quality of Machine Learning strongly depends on data quality and volume in order to be able to use the most advanced models and techniques.
To connect usage patterns with component lifespan is a typical and very valuable use case of machine learning into the Industrial sector.