Cavitation—a phenomenon where vapor bubbles form and implode within a liquid, generating shock waves—can severely damage pump components. This not only results in frequent, costly repairs but also compromises the quality and efficiency of manufacturing processes. Traditional monitoring systems often fail to detect cavitation early enough, leading to unexpected equipment failures, expensive repairs, and significant production downtime.
In today’s industrial landscape, sustainability and decarbonization are critical objectives. Neuron Soundware empowers companies to significantly reduce their carbon footprint and enhance environmental sustainability through its pioneering sound analysis and predictive maintenance solutions.
In this article, we explore how Neuron Soundware’s advanced AI and IoT solutions offer a transformative approach to identifying and mitigating potential issues in transformers, thus preventing unplanned downtime and reducing maintenance costs.
Unplanned downtime and high maintenance costs have a significant impact on the industry, costing businesses billions of euros annually, and robotics is no exception. This article provides an insight into how Neuron Soundware addresses this challenge with AI-driven acoustic continuous monitoring, enabling early fault detection and increasing the operational efficiency of industrial robots.
In the fast-paced world of CNC machining, efficiency and precision are critical to success. We are excited to introduce a groundbreaking study that unveils a novel method for optimizing CNC machine operations using a technology called Reinforcement Learning (RL). This innovation promises to enhance productivity while reducing operational costs, all while relying solely on acoustic sensors to monitor and guide the process.
The “machine whisperers” from Neuron Soundware are back in time for Hannover Messe with three new products that they will be presenting at the world’s most important industrial fair. After Neuron Soundware presented its own AI-based sound detection system for machine maintenance and problems for the first time last year, their second generation of devices along with two new products will be launched this year.
