As you know CARL Berger-Levrault is doing research and work for the future industry and in particular the maintenance function.
One of CARL’s members will be leading a webinar on
“Smart Maintenance: AI hybridization for diagnosis and prognosis of the state of equipment.”
on Friday, September 25 at 1:00 pm.
Industry 4.0 preaches a complete revolution of industrial process and promises huge efficiency gains by complete virtualization of the factory, numerical design tools, automation of the logistics and the routing of the parts, smart machines, 3D printing, cyber-physical systems, predictive maintenance, and control of the whole factory by an intelligent system.
CARL Software provides an innovative IIoT data powered predictive maintenance platform which encompasses the core of “Industry 4.0” with a new maintenance paradigm: maintenance is a production function whose aim should be to optimize production output and quality. We will leverage the IoT revolution to achieve these goals.
This software solution provides many core capabilities in industrial scenarios, including edge analytics who provide a way to pre-process the data so that only the pertinent information is sent to the predictive layer.
The predictive layer will categorize data into an abstract class that represents technical assets behavior. It is a reliable and reproducible approach.
Competitive advantages:
- Reduce failure by 50%,
- Reduce maintenance cost by 30%,
- Reduce Production stops by 70%,
- Reduce Energetic consumption by 20%,
- Reduce Time To Repair by 30%,
- Increase production flexibility
- A machine-learning algorithm that compares the fault prediction and sensor data with historical data, predicting best maintenance activity regarding production and quality objectives.
This solution is experimented with by some of our customers.
Challenges addressed in your presentation
- Asset Performance improvement,
- Reduce asset downtime,
- Energy efficiency,
- Improve production flexibility,
- Improve Remaining Useful Lifetime by combining IoT data collection and IA hybridization (knowledge management combine with statistical machine learning).
Learning Takeaways
- Predictive and prescriptive maintenance
- Why a CMMS is a mandatory starting point?
- What is an IIoT platform?
- The contribution of IIoT and AI to a predictive maintenance strategy
- The main challenges to address for a successful déployment ( one industrial success story)
