Maintenance operations ensure mechanical systems remain in working order, but not all maintenance strategies are created equal. Two common approaches are preventive maintenance vs predictive maintenance, each with its unique methods and…
A combination of preventive and predictive maintenance, known as condition-based maintenance, is often considered ideal for optimizing maintenance efforts and minimizing costs while ensuring equipment reliability.
Condition-based maintenance relies on real-time monitoring to detect changes in equipment condition, triggering maintenance actions. Predictive maintenance uses data analysis to forecast equipment failures and schedule maintenance before issues occur, minimizing downtime.
Data analytics processes large volumes of maintenance and operational data to identify patterns, trends, and anomalies. It helps predict equipment failures, optimize maintenance schedules, allocate resources efficiently, and improve overall equipment reliability and performance.
