The Why and How of Predictive Maintenance in Manufacturing
Learn how predictive maintenance can help you reduce machine downtime by at least 50% while lowering maintenance costs and increasing ROI and productivity.
The Predictive Maintenance White Paper 2023 accumulates the knowledge that Intelliarts’ data scientists received while working on PdM projects.
Read it to get a chance to:
- Explore what is predictive maintenance and how to implement it right
- Contrast PdM to traditional maintenance approaches
- See how PdM fits into your Asset Performance Management
- Check two real-life use cases of how Intellirts built PdM solutions
FAQ
Predictive maintenance in manufacturing helps to reduce downtimes and cut maintenance costs. Based on the data collected from sensors, a predictive maintenance system monitors and analyzes equipment and identifies patterns that can potentially cause equipment failures.
Taking historical data and working based on a probabilistic approach, ML-based predictive maintenance solutions define their own set of rules, according to which PdM systems generate outcomes about equipment state and send notifications to the personnel.
Unlike preventive maintenance, predictive maintenance doesn’t intend taking maintenance activities on a regular basis. It maintenance monitors the equipment state and suggests any maintenance steps only if the equipment or its parts are going to degrade. This way, manufacturers can avoid unnecessary maintenance and costly downtimes.