Xilinx: Predictive Maintenance and Remote Diagnostics in Electromechanical Systems

Online, On Demand

Overview

Predictive maintenance and remote diagnostics in electromechanical systems is a topic of growing interest for engineers and systems-integrators who have the foresight to pro-actively manage the life-time servicing of the equipment under their control.

In this seminar we will show the Xilinx proposal for the implementation of control systems that integrate the function of predictive maintenance in a very efficient and flexible way. The solution is based on the direct analysis inside the FPGA of currents and voltages of the motor in use.

Thanks to the use of Python and artificial intelligence, this system makes it possible to develop advanced analysis and to reach a prototype phase very quickly.

In this presentation, we will analyse the technical characteristics, differences from competitive solutions and advantages of this approach. We will analyse the value of this solution and show its potential in terms of diagnostic capability, performance, flexibility and system integration capability.

The presentation is concluded with a demo based on a Xilinx development system connected to a motor, effectively demonstrating the potential of this solution.

Agenda:

• Xilinx Predictive Maintenance Solution: Overview & Details.
• Practical Demo on Development System
• Questions & Answers

Key-Takeaways:

• Positioning and differentiation of the Xilinx Predictive Maintenance solution
• Analysis of the advantages: in-depth diagnostics, use of advanced analytics, performance, flexibility and scalability, integration
• Hands-on Demonstration
• The webinar will be held in English language

Speakers:

Gianluca Garoia, Technology FAE, FPGA & High End Specialist, EBV Elektronik

Gianluca has worked in various positions in Electronic Hardware Design and FPGA Design, starting at Siemens Informations and Communications Networks and then in Electronic Consultancy firms. At EBV he's been dedicated to FPGA support and High End Processing architectures working on several projects mostly in Industrial, Consumer and Research Applications.
 

Ulrich started his career in 1990 as a Systems Engineer at Texas Instruments in the RF-ID Division. Since 1999, he specialized in TI's DSP, MPU and SoC products as a Field Application Engineer. Before joining EBV as a Field Application Engineer in 2014, he was Technology Manager at E.ON responsible for the support and implementation of smart home appliances. Ulrich is leading the High-End Processing segment at EBV since 2018 to implement technology topics both on device level and on software (embedded, AI/ML, operating systems, open source frameworks, etc.).

Dr. Giulio Corradi, System Architect, Xilinx

Dr. Giulio Corradi is a Xilinx ISM (Industrial Scientific Medical) System Architect based in Munich, Germany. In his role at Xilinx, Giulio has been focussing on the implementation of UltraFast imaging techniques for medical ultrasound and providing analytics for Xilinx edge platforms and real-time mixed criticality systems. He brings 25 years of experience in management, software engineering and development of ASICs and FPGAs in the fields of control, communication, machine intelligence, DSP algorithms, medical applications, and functional safety. Prior to joining Xilinx in 2006, Giulio managed several projects involving train communication networking and wireless remote diagnostic systems.

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