The manufacturing industry has always been a complex and challenging field. With the increasing demand for high-quality products and the need to minimize downtime, manufacturers are constantly seeking ways to improve their operations. One of the most significant advancements in recent years has been the integration of artificial intelligence (AI) in predictive maintenance.
Predictive maintenance is a proactive approach to maintenance that uses data analysis to predict when equipment failure is likely to occur. This approach allows manufacturers to schedule maintenance before a breakdown occurs, reducing downtime and increasing productivity. The integration of AI in predictive maintenance takes this approach to the next level by using machine learning algorithms to analyze vast amounts of data and identify patterns that are not visible to the human eye.