Monitor the parameter of condition in machinery (vibration, temperature, etc.), in order to identify a significant change which is indicative of a developing fault through the process of condition monitoring. Condition monitoring software can improve manufacturing performance by predicting inline and offline quality failures, material waste, unplanned downtime and more. The first step is to analyze approximately three to six months of historical, high-frequency process & quality data to establish relationships, ranging from strong correlations to cause-and-effect constraints, between different types of metrics and measurements. Prusight will then identify patterns in behaviour that have previously led to problems on the factory floor. The patterns are refined into predictive analytics models that are built and validated in the cloud.
Condition monitoring provides real-time alerts that allow factory personnel to proactively address potential problems. Prusight tools alert operators or engineers when key parameters are trending towards outer limits to help protect operations and avoid quality failures. Condition monitoring can also be used to alert teams when components with a high-probability of failures, such as pumps, fans and motors, meet certain conditions that signify they’re likely to break. Alerts can be customized based on factory floor conditions or combinations of metrics.