The predictive models created by École Centrale de Nantes in the context of STREAM-0D project need to be used with ease by users despite their complexity. To do so, ECN uses special encodings able to reduce complexity and allow the models to run in real-time.
Detailed simulations alone are not sufficient to create an effective process control: in order to obtain really accurate prediction models of the production process running in real-time, ROMs must be fed also with offline real data coming from the plant.
The management of communication and dissemination for STREAM-0D allowed Day One, one of the project partners, to strengthen its experience in the field of Industry 4.0, which turned out be extremely dynamic.
Within STREAM-0D solution, Data-Driven Models (DDMs) represent a crucial element to predict potential product defects; CETRI’s work is dedicated to the definition of DDMs. This article describes the tests carried out on Fersa Bearings line.
Smart Manufacturing which is often equated with ‘Industry 4.0’ leverages the Big Data trend of advances in volume, velocity, and variety of data, and applies ‘Big Data analytics’ to make sense of it by improving existing analysis capabilities and providing new capabilities such as predictive analytics.
The Hbubble station is now fully operational on ZF line. It represents the joint effort of ZF and ITAINNOVA and will help in the determination of the output pressure, one of the main parameters of brake boosters systems.
Thanks to the implementation of the STREAM-0D solution, Standard Profil experienced great improvements in data management: process data are now merged with product data, allowing a better control of the production. It is Standard Profil itself that, in this article, tells the story of this advancement.
Fersa Bearings is implementing STREAM-0D solution in the production line. The article provides a detailed explanation of how defective bearings are identified along the production process.
To operate in real-time, complex simulation models such the ones implemented in STREAM-0D need to cut down computational times while saving the reliability of information. This is where the notion of ‘sparsity’ comes into play.
Real-time simulation is a key component in Zero-Defect Manufacturing (ZDM), the new approach towards total quality management. Because quality is not just a matter of detecting non-compliant products, but reducing also their amount.