Predictive maintenance (PdM) is a strategy that involves using data and advanced analytics to predict when equipment is likely to fail, so maintenance can be performed before the failure occurs. For rotating equipment, some benefits of using predictive maintenance include:
Increased equipment uptime:
By predicting when equipment is likely to fail, maintenance can be performed before the failure occurs, reducing downtime and improving overall equipment reliability and ending up in cost savings.
Improved equipment efficiency:
Predictive maintenance can help identify problems that are causing equipment to operate less efficiently, such as imbalance, misalignment, or equipment part deterioration.
Cost savings:
Predictive maintenance can reduce maintenance costs by reducing the number of unplanned downtime incidents and the cost of repairs.
Improved safety:
Predictive maintenance can help identify potential safety hazards before they occur, reducing the risk of accidents and injuries considering employee safety as a top priority.
Better use of resources:
Predictive maintenance can help optimize maintenance schedules, reducing the need for excessive maintenance and allowing resources to be used more effectively.
Improved asset management:
Predictive maintenance can provide valuable data that can be used to improve overall asset management, such as identifying areas for improvement in maintenance processes or helping to prioritize future maintenance efforts and decisions.
In summary, predictive maintenance for rotating equipment can help improve equipment reliability, reduce downtime and maintenance costs, improve safety, and optimize the use of resources which ultimately have wide benefits for the units.