EBOOK:
Predictive Maintenance From Scratch
In this ebook we'll take you by the hand with a complete framework for predictive maintenance implementation. It addresses the entire process, from quick scan to scale-up, and divides it into three main stages: Connect, Predict, and Accelerate. We explain this framework and illustrate its application in three concrete cases: one with an OEM and two with asset owners. All cases succeeded in reducing downtime and improving efficiency, thus capitalizing on the promise of predictive maintenance.
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How to start from scratch:
The complete process outlined
1. Connect
In the Connect phase, we make the connection between the problem at hand, concerning quality or asset condition, and the organization’s business and maintenance strategy.
2. Predict
We develop the algorithms that can be used in a predictive maintenance approach, with respect to the “installed base”: is it standard, custom, or innovative?
3. Accelerate
We start deploying the predictive model we have developed in real-life operation, and then integrating it in the day-to-day business. We prepare it for scaling-up to other problems.
A Smart Collaboration:
Perfact Group x Sensorfy
Perfact Group and Sensorfy have joined forces in bringing you industry 4.0 expertise: to better serve customers who are considering adopting predictive maintenance. Sensorfy develops technological solutions for implementing predictive maintenance, thus building the world’s most accurate predictive technology. The Perfact Group has extensive experience in industrial consultancy and combines knowledge, people, and technology to help organizations and people to improve fast and efficient. Together, we cover the strategic, tactical, and operational phases of predictive maintenance implementation.
These leading innovators rely on our knowledge
