Year: 2021

CNC machine monitoring involves real-time tracking and analysis of machine performance metrics such as spindle speed, tool wear, and production output to optimize efficiency, detect anomalies, and schedule maintenance proactively.

Condition monitoring of machines employs sensors and data analysis techniques to assess equipment health by monitoring parameters like vibration, temperature, and lubricant condition, enabling early fault detection and predictive maintenance.

CNC maintenance involves regular upkeep tasks such as cleaning, lubrication, calibration, and inspection of computer numerical control (CNC) machines to ensure optimal performance, accuracy, and longevity.

Condition-based maintenance relies on real-time monitoring and analysis of equipment condition to schedule maintenance activities when signs of degradation or failure are detected, optimizing maintenance resources, reducing downtime, and extending asset lifespan.

Condition-based maintenance relies on real-time monitoring and data analysis to determine maintenance needs, while traditional maintenance follows predefined schedules regardless of equipment condition. CBM reduces downtime and costs by addressing issues as they arise, whereas traditional methods may result in unnecessary maintenance or missed failures.