Machine learning and artificial intelligence (AI) have transformed the manufacturing industry with smart factories. Advanced machine learning algorithms use historical performance data and current runtime data to project a series of simulations of failure. As the dataset grows in volume, the system learns from the available data to provide more accurate outcomes.
The prediction of failure points leads to a prevention of failure. The equipment can be taken into a planned shutdown. This reduces the overall cost of maintenance and saves heavily on productive hours that are otherwise wasted. Also, this procedure ensures quality because these smart algorithms determine the factors that impact production quality.