Predictive Maintenance

Predictive maintenance (PdM) uses data analysis and condition monitoring techniques to predict equipment failures and schedule maintenance activities accordingly.

Key characteristics:

Monitoring equipment health in real-time or at specific intervals using various technologies (vibration analysis, infrared thermography, oil analysis, etc.).

Benefits of preventive maintenance:

Optimized maintenance schedules, reducing unnecessary maintenance and associated costs.

Improved asset performance and reliability through timely repairs or component replacements.

Analyzing data patterns and trends to identify early signs of deterioration or abnormalities.

Minimized unplanned downtime and production interruptions.

Cost savings through efficient resource allocation.

Corrective Maintenance

Corrective maintenance, also known as reactive or breakdown maintenance, focuses on repairing equipment after a failure or malfunction occurs.

Key characteristics:

Immediate response to equipment failures to restore functionality and minimize downtime.

Often unplanned, and can lead to higher repair costs and potential safety risks.

Appropriate use cases for corrective maintenance: Low criticality equipment where failure does not significantly impact operations or safety.

Situations where preventive or predictive maintenance is not costeffective or feasible.

Emergency breakdowns that require immediate attention.