integrated with knowledge based decisioning
Welcome into our Specialization world
Deep learning is fundamentally changing the way we innovate, collaborate, produce, understand and live sustainably.
STRUCTURAL HEALTH MANAGEMENT
Brainbox Structural Health Monitoring system is designed to provide, at every moment a assessment of the structural health, provides a state-of-the-art diagnosis of the constituent materials, on different parts, and of the full assembly which constitutes the structure as whole.
It's Autonomous and designed for Ships, Aircraft, Railway, Offshore Platforms, Wind Turbines...
Never before seen reason combinations await you
Reason combination is not the only new thing - knowledge combinations also await you. Computers can rapidly manage more challenges as long they are repeatable and/or explainable. Brainbox is an intelligent platform which need to be simply fed with numerical and empirical data and the system knows how to deal with unforeseen circumstances. The result of these learnings are predictive answer or action, which are the outcomes of learned models based on various probabilities.
So What Choice Do You Make?
Only A Human
Human & Machine
OR an Intelligent Machine
AUTONOMOUS FINITE ELEMENT MODELLING
The Brainbox autonomous FEM uses numerical (applied maths) methods to assess material condition on-board in real-time. The main advantage of Brainbox SHM is that it can be applied to arbitrary shapes in any number of dimensions. It measures non-homogenous (location) and anisotropic (direction) properties, along with various probable applied sources like force, pressure heat flux, etc. The system mixes information's of the integrity monitoring and usage monitoring subsystem with expert knowledge (damage mechanic and behaviour laws ) which makes it possible to determine the prognosis (residual life) of the structures (organization of maintenance, repair operations etc.,)
SHRINKAGE - DISTORTION & DISPLACEMENT ANALYSIS
Brainbox integrated analytics, specifically addresses three major problems in real-time associated with differential thermal stress, vibration and noise. They are cost, time and distortion. Shrinkage, distortion oh housing assembly, displacement and wear-outs are the major problem faced causing unplanned downtime of the entire machine or parts. Brainbox AIP integrated with deep machine learning and cognitive analytic assesse the boundary conditions, wear-outs and displacement in real-time and provide predictive alerts when the machine cry for help.
Accessible and Scalable Technology
We've always been looking to make structures machines extremely intelligent and connected
We apply cognitive computing not only to numerical data,
but also to empirical data-sets to see, and interpret complex information's in real-time.