Condition-Based Monitoring

Obtain real-time insights to detect wear and identify early warning signs. With Resonyx, you can proactively address potential issues, aiming to extend machinery lifespan, reduce unexpected downtime, and optimize maintenance schedules.

Why Condition-Based Monitoring?

Reduce Unexpected Downtime

Identify early signs of wear to inform timely maintenance decisions.

Extend Equipment Lifetime

Address issues proactively to mitigate potential problems.

Control Maintenance Costs

Reduce costs by avoiding unnecessary maintenance work.

About

Understanding equipment conditions is key to improving efficiency and preventing failures. Resonyx uses AI-driven acoustic analysis and edge technology to continuously assess the health of machinery and infrastructure.

State-of the-art audio analytics solution.

Edge-Based Processing

Real-time analysis without relying on constant internet connectivity, ensuring continuous data collection and instant feedback.

Sensing Audio & Vibration

Detect subtle changes in sound and vibration with microphones that other sensors may miss.

AI-Powered Insights

Utilizes machine learning algorithms to recognize wear patterns, assisting operators in addressing potential issues proactively.

Seamless integration

Compatible with existing industrial systems. Moreover, our non-invasive approach makes deployment straightforward.

Customisable models

With our general approach, we support a wide range of use cases by enabling adjustments of the advanced AI-models for each project.

Industries

Resonyx can be used for condition-based monitoring in various industries.

Manufactoring

Delivering precision monitoring for CNC machines, conveyor systems, and critical components like bearings and motors. Resonyx aims to enhance equipment longevity and minimize downtime across industrial operations.

Energy

By monitoring turbines, pumps, and transformers, Resonyx helps improve reliability in renewable and traditional energy sectors. Detecting early wear allows for timely interventions, supporting efficiency and minimizing disruptions.

Logistics

Monitoring critical equipment in logistics to detect early wear, reduce downtime, and prevent costly disruptions. By addressing issues before they escalate, Resonyx helps maintain supply chain efficiency and reliability.

Acoustic Emission Response

Resonyx analyzes high-frequency stress waves in real time to assess structural integrity and detect material defects. This enables non-invasive monitoring of components under load, helping to identify cracks, looseness, and other structural changes before they become critical.

In mining applications, our models have achieved over 90% accuracy in distinguishing solid versus loose rock, improving safety for workers operating in hazardous environments. More broadly, acoustic emission analysis supports predictive maintenance and structural health monitoring across industries, reducing downtime and mitigating failure risks in critical infrastructure.