Blog
Successful diagnosis of a pump fault using sound and AI
Wind has one of the greatest potentials to increase countries’ renewable capacity growth, which
explains why it’s one of the fastest-growing energy sources in the world.
Author: Pavel Trojanek
Blog
Revolutionizing Grinding and Milling with AI-Powered Acoustic Monitoring
Neuron Soundware technology, based on evaluating the health of the machine according to its sounds with AI and machine learning algorithms, is applicable not only to the prevention of production downtime but also in process control within production processes such as verification of the quality of the material in the grinding process. Let us dive into a recent use case.
Case studies
Monitoring of Otoyo Wind Farm in Japan
Microphones and structure borne sensors provide the operator with not just the ability to listen to the components off site, it also monitors the wind turbine 24/7 using anomaly detection.
Blog
Fault in Piston Compressor with Automotive producer
Neuron Soundware detected an impending fault in the piston helium compressor for hardening gearboxes in the automotive industry.
In March 2021 our AI detected an impending critical fault in the piston compressor, which later culminated in machine downtime. Early detection of this fault represents a concrete result and proof of how machine learning algorithms can assist in predictive maintenance.
Media
Machines, Algorithms, and Sound: An Interview with Pavel Konecny, CEO of Neuron Soundware
AI World magazine recently interviewed CEO and co-founder of Neuron soundware. Read about what NSW does and how we do it.
Blog
How to tackle unplanned downtime and decrease repair costs of cogeneration units?
AI-driven NSW solution helps to prevent unplanned downtime and decrease repair costs of cogeneration units (CHP).
Blog
AI-based fault detection on air compressors
Neuron Soundware solution for machine health monitoring successfully detected faults on air compressors that would be difficult to detect by other diagnostic methods. This saved the production of car rims for a 50-million per year car wheel producer.
Blog
Testing the output quality of electric window controls for cars
In the past operators tested the quality of the window regulators via listening. This meant the testing approach was dependent on the human factor and listening by ear. The manufacturer decided to replace this manual and demanding method by automatic system delivered by Neuron Soundware.
Blog
Neuron Soundware extends the life of escalators in the Prague and Vienna metro
The Prague Public Transport Company as well as Wiener Linien are taking a progressive approach to new trends in the field of predictive maintenance, reflecting the increasing expectations of passengers, as well as requirements for efficiency, human resource management, long-term investments, and the digitization of equipment and processes.
Case studies
Monitoring of 1 MW hydroelectric generator
Neuron soundware delivered a solution for monitoring wear of the turbine bearings. 24/7 monitoring and nGuard platform offer more flexibility than standard solutions on the market.