5 things to know when going from preventive maintenance to predictive maintenance

Jul 06, 2023

Preventive maintenance is a common practice in many industries. It involves performing routine maintenance tasks on equipment or machinery to prevent breakdowns and reduce downtime. However, preventive maintenance is not foolproof, and equipment can still fail unexpectedly. That's where predictive maintenance comes in. Predictive maintenance uses data analysis tools to predict when equipment is likely to fail, allowing for maintenance to be scheduled before a breakdown occurs.

1. Understand the benefits of predictive maintenance

Predictive maintenance has several benefits over preventive maintenance. It can help reduce downtime, increase equipment reliability, and extend the life of equipment. By identifying potential issues before they become major problems, predictive maintenance can also help reduce maintenance costs and increase safety.

predictive maintenance

2. Collect and analyze data

To implement predictive maintenance, you need to collect and analyze data from your equipment. This can include data on vibration, temperature, and other factors that can indicate potential issues. There are several tools available to help with data collection and analysis, including sensors, software, and machine learning algorithms.

data analysis

3. Use the right metrics

When analyzing data for predictive maintenance, it's important to use the right metrics. This can include metrics like mean time between failure (MTBF), mean time to repair (MTTR), and overall equipment effectiveness (OEE). By tracking these metrics over time, you can identify trends and potential issues before they become major problems.

4. Implement a maintenance schedule

Once you have collected and analyzed data, you can use it to implement a maintenance schedule. This schedule should be based on the predicted failure of equipment, rather than a set schedule like in preventive maintenance. By scheduling maintenance based on actual need, you can reduce downtime and increase equipment reliability.

5. Train your team

Finally, it's important to train your team on the new predictive maintenance process. This can include training on data collection and analysis tools, as well as how to interpret the data and schedule maintenance. By ensuring everyone is on board with the new process, you can ensure its success and reap the benefits of predictive maintenance.

team training

In conclusion, predictive maintenance can be a game-changer for many industries. By using data analysis tools to predict equipment failure, you can reduce downtime, increase reliability, and save money on maintenance costs. By following these five tips, you can successfully transition from preventive maintenance to predictive maintenance and reap the benefits.