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Explore IndustryOnline Masterclass on Production End Of Line NVH Quality Testing
Online Masterclass on Production End Of Line NVH Quality Testing
Siemens Digital Industries Software invites you to join us for a free, educational online Master Class on NVH based Production End Of Line Quality Testing.
To both meet and exceed customers’ expectations, suppliers must provide excellent manufacturing quality. The long-term costs of faulty products are just too high: rework, scrap, product failures and recalls can all severely damage a business by creating inefficiencies, delays, direct costs, customer dissatisfaction and low shareholder confidence. Today manufacturers must build products on time and right-first-time to remain competitive in global markets.
After this class you will be able to understand how you can automatically detect and identify product or process anomalies within seconds, applied on a wide range of industries and applications where products are normally rotated, items such as complete engines, transmissions, electric motors, turbo chargers etc.…
Join our online Masterclass and receive a full update on the NVH production quality testing process with best-in class methods available, including real life examples.
For any further information please contact alex.vermeulen@siemens.com
Olaf Strama
Director Business Development Simcenter Anovis
Olaf Strama has more than 25 years of experience in NVH based production quality testing.
After his graduation he worked at the Technical University of Ilmenau (Germany) on a scientific project: „Innovative methods of noise and vibration analysis on rotating machinery for the purpose of quality control and diagnosis”. Then he worked for more than 20 years at Saab Medav Technologies as head of the NVH department responsible for Industrial and Automotive Applications.
He also worked on research projects like : “Innovative Quality Control for Rotating Machines Using Artificial Intelligence Methods“; and “Sorting and Quality Control Enabling Technologies Integrated by Neural Networks“.
Since 2019, Mr Strama is heading the IQT department at Siemens Industry Software GmbH.