Data driven predictive maintenance and preventive maintenance can be done using artificial intelligence, in order to predict faults and irregularities using linear regression and decision tree algorithm which is a machine learning model so unexpected failures could be avoided that helps to improve the quality and production in industries. Using the machine learning algorithms which are great tools for predictive maintenance forecasting is made for time horizon of short term which helps in industrial sectors.

Topics
Artificial intelligence, Machine learning, Decision theory, Industry, Regression analysis
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