Predictive maintenance is an advanced maintenance strategy that leverages data analytics, IoT sensors, and machine learning algorithms to detect early signs of equipment failure. This approach allows organizations to schedule maintenance activities before unexpected breakdowns occur, minimizing downtime and reducing repair costs.
By continuously monitoring machine performance through vibration analysis, temperature readings, and other sensor data, predictive maintenance systems can provide real-time alerts and diagnostics. This proactive approach extends asset lifespan and improves overall equipment efficiency (OEE).
Industries such as manufacturing, energy, and transportation widely adopt predictive maintenance to optimize production schedules, enhance safety, and improve operational reliability. It is a key enabler of digital transformation and smart factory initiatives.