Predict when repairs will be needed, schedule maintenance cost-effectively, and keep your business operating smoothly.
Plan cost-effective maintenance and prevent equipment failure
In the past, manufacturers were forced to conduct preventative maintenance based on either time or cycles of use. This helped prevent equipment failure, but it also meant stopping a well-functioning machine to conduct maintenance, even if there was no indication of anything wrong, costing time and money.
If you’re still doing preventative maintenance, we’d like to welcome you to the future. Predictive maintenance offers a better way to maintain your equipment and your workflows.
Stop doing maintenance you don’t need to do while also preventing catastrophic failures
Why stop your production processes for maintenance if everything is running well? Preventative maintenance guidelines are just that—guidelines! Sometimes, equipment develops a problem even before it’s due for maintenance.
With predictive maintenance, you have the confidence to keep machines up and running, regardless of time or use cycles. And, you can catch malfunctions that you wouldn’t have been able to identify with preventative maintenance, avoiding costly failures and equipment downtime.
Key predictive maintenance components:
Data warehouses to store the historical data from IoT sensors.
Domain experts to understand the data, evaluate potential models, and adjust maintenance plans.
Real-time IoT connectivity to measure and record equipment states.
Drive maintenance insight, regardless of the data you generate
Process video and still images to identify quality issues
Listen for indications that equipment is operating inefficiently
Analyze the vibration of machine components to identify issues
Detect problems like gas leaks as soon as they happen
RapidMiner for predictive maintenance
You’re ready to embrace the Industry 4.0 revolution and move to predictive maintenance. But how? With RapidMiner, digital manufacturers are able to predict the lifetime of factory components and machines to intelligently plan maintenance, while reducing or even entirely eliminating failures.
Using state-of-the-art machine learning tools that anyone can master, paired with cloud-based or edge-computing systems to read in data from your shop floor, RapidMiner provides a real-time perspective on the health of your equipment.
Check out the case studies below and see how RapidMiner is being used to achieve predictive maintenance success.
MULTI-NATIONAL AUTO PARTS MANUFACTURERLearn how simple repairs and maintenance can have massive downstream implications. This manufacturer was able to drastically reduce the risk of plant shutdown, with each avoidance saving $20+ million per day cost.
LOCAL GAS DISTRIBUTION COMPANYPredictive maintenance can not only be beneficial for improving efficiency, but also for avoiding events that affect public safety and cause brand and reputational harm. Learn how this gas company reduced risk, generated cost-savings through more efficient repairs and more.
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Looking to adopt AI in your manufacturing organization? Start with predictive maintenance – it rises above other use cases in terms of feasibility & impact.