Machine learning algorithms are revolutionizing an field of predictive maintenance by enabling early detection of potential equipment failures. By analyzing current data from sensors and other sources, these algorithms can identify anomalies that may indicate imminent issues. This allows organizations to schedule maintenance before failures occur,