ACME 4.0 – Self-adapting sensor systems for acoustic condition monitoring in Industry 4.0 applications

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Acoustic monitoring for wafer production.

Networked sensors and measuring systems are increasingly used in industrial production to make manufacturing processes more reliable. So far, acoustic sensor systems have been used in only a limited number of applications. In the ACME 4.0 project, partners from industry and research will investigate the potential of acoustically monitoring machines and production processes. For this purpose, the research partners will develop methods for real-time detection of acoustic events in the high ultrasound range using structure-borne noise sensors. Using methods from computer-based acoustic event detection, the goal is to permit detection of abnormalities or faults in the production process more easily and reliably than in the past. Within the scope of the project, this technology will be tested in quality control in semiconductor production and in fault detection on axial piston pumps. The goal is to develop an energy-autonomous, highly-integrated sensor platform that can be integrated wirelessly in industrial installations.

Responsibilities of Fraunhofer IDMT in Oldenburg

In this project, the Fraunhofer IDMT's Oldenburg Branch for Hearing, Speech and Audio Technology HSA is further developing existing acoustic sensor systems for airborne sound so that these systems can also be used for the frequency ranges of infrasound and ultrasound. The sensor node platform will be extended by an interface for wireless data communication. As part of the project, the scientists are building an audio database and a catalogue of typical acoustic signal characteristics. The goal is to develop robust recogniser algorithms for industrial applications using machine learning methods.

Further Information


Press Release / 18.5.2022

Under pressure...

In the project »KI-MUSIK4.0«, Fraunhofer IDMT and Festo SE & Co. KG are working on the condition monitoring of pneumatic actuators - in particular for the early and automated detection of compressed air leaks.


Project KI-MUSIK 4.0

Universal AI Sensor Interface for Industry 4.0

This project is dedicated to the next generation of intelligent, increasingly autonomous manufacturing systems.


Intelligent acoustic sensor nodes

At the Fraunhofer IDMT, easily integrable sensor nodes are developed for capturing and processing acoustic data in networks.

The project ACME 4.0 was funded by the German Federal Ministry of Education and Research.

Machine listening for smart decisions

With us, you use the acoustic fingerprint of events to make intelligent decisions automatically - for your processes and products.