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11/23/2022 - 11/23/2022 | Dresden

AI-based acoustic diagnostics – early detection of defects and wear

Acoustic diagnostic methods detect faulty components or critical processes quickly and precisely due to their unique noise patterns.

As a wide range of materials can be evaluated, it can be used for condition monitoring of wear and other parts in many industries (automotive, aerospace, mechanical engineering, paper and food industry, energy industry, etc.). The acoustic diagnostic techniques can be furthermore combined with state-of-the-art artificial intelligence methods, such as pattern recognition and machine learning, which enable automatic and reliable analysis in real time.

Dr. Ivan Kraljevski will present acoustic diagnostic solutions developed at Fraunhofer IKTS for various applications, such as anomaly detection in sensor networks for non-destructive testing in aerospace and structural health monitoring of machine components.

***

This seminar ispart of our online Seminar series: NDT4INDUSTRY – Recent developments in advanced NDT

At the Fraunhofer IKTS site in Dresden-Klotzsche our focus is on developing advanced non-destructive testing solutions for ceramics and many other materials.

We are constantly working on new solutions. We would like to present some of these to you in our new NDT4INDUSTRY online seminar series.

Information on participating / attending:
Please register via the online form at the seminar website www.ndt4industry.com

Date:

11/23/2022 15:00 - 11/23/2022 16:00

Registration deadline:

11/22/2022

Event venue:

Online seminar
01109 Dresden
Sachsen
Germany

Target group:

Business and commerce, Scientists and scholars

Email address:

Relevance:

international

Subject areas:

Information technology, Materials sciences, Mechanical engineering, Traffic / transport

Types of events:

Seminar / workshop / discussion

Entry:

10/18/2022

Sender/author:

Dipl.-Chem. Katrin Schwarz

Department:

Presse- und Öffentlichkeitsarbeit

Event is free:

yes

Language of the text:

English

URL of this event: http://idw-online.de/en/event72739


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