Predictive maintenance is a developing field, with new data gathering methods being developed constantly.. While preventive maintenance depends on best practices and historical data, predictive maintenance collects data from machine operations in real time and uses it to raise red flags when signs of a problem are detected. In conclusion, predictive maintenance entails:
- Is proactive
- Can be performed as the machines are running in their normal production modes
- Identifies and addresses potential problems, allowing maintenance to occur before a failure happens
- Relies on interconnected measurement and data collection systems as well as tools and personnel to analyze that data
You presumably already have a maintenance strategy in place, and it’s most likely a proactive one. Most organizations practice preventive or predictive maintenance, and both are far superior to the third option, reactive maintenance, which is dealing with a piece of machinery only after it has broken down. Continue reading to learn more about predictive maintenance and its benefits.
