Technology · 01
Predictive Maintenance with Acoustic Fingerprinting
From sound signature to fault prediction: every electromechanical equipment has a unique sound and vibration "fingerprint" when operating properly. The smallest deviations in this signature often occur weeks before the failure actually occurs. Our technology catches these deviations and alerts maintenance teams before the incident occurs.
How Does It Work?
Acoustic + Vibration AnalysisLow-cost acoustic/vibration sensors built into the equipment extract a reference “fingerprint” of the device in its normal operating regime. By classifying deviations from this reference, machine learning models predict the likely failure type and level of urgency.
Early Warning
Signs of failure are detected in the acoustic signature before visible loss of performance.
Reduction in unplanned stopping
Maintenance is not done after failure; Production loss is reduced by planning within the foreseen window.
Hardware Independent
It is integrated into the existing SCADA/OT infrastructure with additional sensors and does not stop the production line.
OT Security Compliant
ISO 27019 & We design with the security requirements of the OT environments for which we provide EMRA SGYM consultancy.
Let's talk about how we can apply this technology in your organization
Let's clarify the pilot scope, integration duration and expected impact together.