A conditional monitoring system is a type of system used in manufacturing to monitor the performance and health of production equipment in real-time. These systems use a combination of sensors, data analytics, and machine learning algorithms to analyze equipment performance data and identify patterns or anomalies that may indicate potential problems.
The data collected by the monitoring system can include measurements such as vibration, temperature, pressure, and other metrics that are indicative of the health and efficiency of the equipment. The system analyzes this data to identify potential issues such as wear and tear, misalignment, or other problems that can lead to equipment failure or downtime. The system can alert operators or maintenance personnel when a potential issue is identified, allowing them to take action to prevent more significant problems from occurring.