Skip to main content
main-content

26.04.2017 | Production + Production Technology | News | Onlineartikel

Acoustic Troubleshooting

Autor:
Nadine Klein

At this year’s Hannover Messe, the Fraunhofer Institute will be showcasing a cognitive system that should accurately identify faults using acoustic signals.

In industrial production, the testing of machines and products with acoustic signals still plays a niche role. At this year’s Hannover Messe, the Fraunhofer Institute for Digital Media Technology is exhibiting a cognitive system that is intended to detect erroneous sounds more objectively than the human ear. This technological approach combines intelligent acoustic measurement technology with signal analysis, machine learning, as well as secure, flexible data storage. The researchers have been able to detect up to 99 percent of the defects in initial pilot projects with industry.

The scientists identify possible sources of noises and analyse their causes, create a noise model of the environment, and focus their microphones there. The system removes interfering sounds, such as voices or noise, from the overall signal. The signal is then repeatedly compared with previously determined reference sounds obtained in a laboratory environment. With the help of artificial neural networks, the scientists are gradually developing algorithms that are able to detect errors from the noise they generate. The technology is so sensitive that it also indicates nuances in error intensity and manages complex tasks. For example, it can be used to perform end-of-line inspection of car parts and check motors for car seats.

The Fraunhofer researchers are able to ensure the data security of the collected acoustic signals by authorising users and managing rights and identities. For example, real and virtual identities are decoupled in order not to infringe user rights when different people evaluate the data. Machines and test systems are usually installed on a production line. The researchers therefore store their acoustic data records in a secure cloud.

Weiterführende Themen

Die Hintergründe zu diesem Inhalt

Premium Partner

in-adhesivesMKVSNeuer Inhalt

BranchenIndex Online

Die B2B-Firmensuche für Industrie und Wirtschaft: Kostenfrei in Firmenprofilen nach Lieferanten, Herstellern, Dienstleistern und Händlern recherchieren.

Whitepaper

- ANZEIGE -

Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie

Maschinelles Lernen ist die Schlüsseltechnologie für intelligente Systeme. Besonders erfolgreich ist in den letzten Jahren das Lernen tiefer Modelle aus großen Datenmengen – „Deep Learning“. Mit dem Internet der Dinge rollt die nächste, noch größere Datenwelle auf uns zu. Hier bietet die Künstliche Intelligenz besondere Chancen für die deutsche Industrie, wenn sie schnell genug in die Digitalisierung einsteigt.
Jetzt gratis downloaden!

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

Bildnachweise