Automate vehicle NVH validation using a data-driven approach - Seguridad Mania.com - España y América Latina

 

Although manufacturers combine testing with simulation, vehicle NVH validation still heavily relies on full vehicle tests and expert knowledge. Want to discover how to integrate artificial intelligence (AI) methodologies into your development process to reduce time-to-market?

 

Manufacturers possess a large amount of unused data from previous test campaigns but rarely revisit these. These resource-intensive test results are a hidden treasure, the conclusion of a complete development campaign combining design decisions and in-house expertise.

 

Make use of your historical data and leverage it in current and future vehicle developments. Register to this webinar and discover how data-driven analysis can automate vehicle NVH performance validation.

 

 

Deploying artificial intelligence (AI) methodologies in your NVH processes is promising. But where to start? After all, you want to feed the algorithm with the correct data to re-use and leverage them in a new vehicle development program.

 

The AI algorithm learns autonomously, but the NVH engineer is tasked with choosing which system responses to extract from measurements or simulations to train the algorithm appropriately. To realize a successful vehicle design and optimization transformation, the NVH engineer needs to rely on their expertise and domain knowledge to design specific boundaries for the input data and correctly interpret the output data. The Simcenter NVH solutions combine simulation, testing, and engineering know-how to complement and enhance your testing and simulation activities and gain more insight into the full vehicle's NVH behavior.

 

 

- Increase efficiency of NVH testing using artificial intelligence methods

- Predict NVH performance without creating complex simulation models

- Translate full vehicle targets to subsystems using AI

 

The presented approach demonstrates a data-driven NVH analysis that enables you to enhance vehicle development and gain more insights into the NVH behavior of the full vehicle faster.

 

 

This webinar is designed for NVH engineering communities, from experts to analysts, who seek smart solutions to speed up NVH data validation. They will learn to leverage historical NVH data by using artificial intelligence and machine learning techniques to deploy automated processes. This solution enables you to shorten the development cycle and increase overall vehicle and process efficiency.

 

 

Alessandro Lepore:Business Development Manager, Siemens Digital Industries Software

 

Alessandro has been with Siemens Digital Industries Software for 10 years, working in various roles in the Engineering and Consulting Services division. He is currently Business Development Manager responsible for global business development and go-to-market for Engineering Services Solutions, focusing on technologies that combine Test, 1D, and 3D CAE simulation, the automotive and transportation industry, NVH, acoustics, drivability and, ride and handling solutions.