Predictive Maintenance
Predictive Maintenance is a proactive maintenance strategy that uses data analysis, machine learning, and IoT sensors to predict equipment failures before they occur. It involves monitoring the condition of assets in real-time to identify anomalies and forecast potential breakdowns, enabling timely interventions. This approach aims to reduce unplanned downtime, extend equipment lifespan, and optimize maintenance costs by replacing scheduled or reactive maintenance with data-driven predictions.
Developers should learn Predictive Maintenance when working in industries like manufacturing, energy, transportation, or healthcare, where equipment reliability is critical to operations and safety. It is used to implement smart maintenance systems that prevent costly failures, improve efficiency, and support Industry 4.0 initiatives. For example, in manufacturing, it can predict machine wear using sensor data, allowing repairs during planned downtime rather than causing production halts.