Factories are full of cameras. They are almost entirely deaf. The microphones available to industry were designed for recording studios, not production lines — and when teams try to build acoustic AI with them, the results are predictable: models that perform well in the lab and poorly in production. The problem is rarely the algorithm. It is the data.

The RESONIKS MPK801 was built to fix that.

The Industrial Measurement Microphone is designed to capture this acoustic information for industrial monitoring, analysis, and machine learning applications.

The MPK801 can be used in a range of applications, including predictive maintenance, machine condition monitoring, process monitoring, quality control, and machine learning.

Predictive Maintenance

Motors, pumps, bearings, gearboxes, compressors, valves, and other machinery produce characteristic acoustic patterns during normal operation. When a component starts to wear or develop a fault, these patterns can change. By monitoring acoustic data over time, engineers can identify changes in machine behaviour and investigate potential problems before they result in unexpected downtime.

Machine Condition Monitoring

Instead of relying only on periodic inspections, acoustic data can be collected continuously while equipment is operating. This allows monitoring systems to establish what normal operation sounds like, track changes over time, and detect acoustic patterns that may require attention.

The MPK801 is well suited to continuous monitoring because it can be installed as part of a permanent monitoring infrastructure, rather than being used only for occasional measurements. Its built-in monitoring capabilities also help keep track of the measurement system itself, including factors such as packet loss, providing greater visibility into data quality and system status. This makes the MPK801 a practical choice for long-term, automated machine condition monitoring, where reliable acoustic data is needed around the clock.

Process Monitoring and Quality Control

Different stages of a process can produce characteristic sound events. The MPK801 can capture these events and provide data for automated analysis, making acoustic measurement another useful source of information for process monitoring and quality control.

Machine Learning and Acoustic Analysis

Most acoustic AI projects fail on data, not on algorithms. Inconsistent microphones, poor synchronisation, and hardware variation between units mean that even well-designed models cannot generalise from lab to production. The MPK801 is designed to provide consistent measurement performance, making it suitable for collecting acoustic datasets for analysis and model development. Combined with machine learning, the Precision Measurement Microphone can act as the “ears” of an industrial monitoring system, helping identify acoustic patterns that may be difficult to detect through traditional inspection.

Turning Sound into Useful Information

The concept is simple: machines make sound, and changes in that sound can provide valuable information. Whether the goal is to detect developing faults, monitor machine condition, improve process control, or develop machine learning models, the MPK801 Precision Measurement Microphone provides a way to capture the acoustic data needed to turn sound into actionable insight.

Interested in using acoustic monitoring in your application?

Talk to the RESONIKS team about your requirements and find out how the MPK801 Precision Measurement Microphone can fit into your measurement system. Contact us for a quote.