Answer:
Condition Based Maintenance (CBM) is a maintenance strategy that uses real-time data and monitoring to identify when maintenance is required based on the condition of the equipment. The basic parameters of CBM include:
1. Data Collection: CBM involves collecting real-time data from sensors, equipment, and other sources to monitor the condition of the equipment. This data may include vibration, temperature, pressure, fluid levels, and other parameters.
2. Data Analysis: The collected data is analyzed using statistical techniques and machine learning algorithms to detect anomalies and patterns that indicate potential issues or failures.
3. Condition Monitoring: Based on the results of the data analysis, the condition of the equipment is monitored in real-time to detect any changes or degradation in performance.
4. Predictive Maintenance: CBM uses predictive maintenance techniques to anticipate and schedule maintenance activities before a failure occurs, based on the condition of the equipment.
5. Maintenance Optimization: CBM also focuses on optimizing maintenance activities to reduce downtime, improve equipment reliability, and reduce maintenance costs. This may involve scheduling maintenance activities during planned downtime or optimizing maintenance schedules based on equipment usage patterns.