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Sound Software for Fault Detection in Machinery


Monitoring mechanical systems by the way they sound.

A new software system developed by a European Union-funded research project can determine if industrial machinery requires maintenance based on the sounds it makes.

Credit: Michael Jung/Shutterstock

A European Union-funded research project has developed software based on the human auditory system that can analyze sound to determine if industrial machinery requires maintenance.

The Horizon2020 neuronSW team integrated advanced algorithms, machine learning, and big data analysis to mimic the human auditory cortex and enable early detection and prediction of mechanical breakdowns.

Said SME NeuronSW Ltd.'s Jiri Cermak, "The technology leverages machine learning, the cloud, and the Internet of Things to deliver a detection service which emulates human intuition about sound."

The neuronSW solution lets manufacturers perform intelligent audio diagnostics and monitor key pieces of machinery by the sounds they generate.

Cermak said, "The integrated hardware and software platform automatically gather the sound of machines in real time and continuously assesses the equipment's health."

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