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.
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.
AI World magazine recently interviewed CEO and co-founder of Neuron soundware. Read about what NSW does and how we do it.
AI-driven NSW solution helps to prevent unplanned downtime and decrease repair costs of cogeneration units (CHP).
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.
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.
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.
A diagnostician receives an alert about a pump anomaly. Before stopping the pump, he checks the possible cause of the fault in the nGuard diagnostic tool. Through remote analysis, he determines that the fault is not directly on the pump, but in the piping upstream of the pump. Based on this, a decision is made to shut down the pump outside of core operating hours and to check the piping.
Neuron Soundware won the ABB Open Innovation Award for Predictive Maintenance. From more than 1100 startups from around the world, Neuron Soundware was awarded as the Best for Predictive Capabilities thanks to its complete solution, including AI platform, product in a box concept, and range width.
Neuron Soundware developed a solution for machine health monitoring in the chemical industry and explosive zones. The monitoring technology successfully detected faults and wrong machine parameters on a paint recycling machine. These faults would be difficult to discover by other diagnostics methods otherwise.
