From Vibration Data to Verified Diagnostics
Physics-based analysis, Expert-in-the-Loop learning, and results you can trace
VibroAI Analysis
Automated Vibration Analysis
Vibration signals from rotating machinery are complex and highly dependent on operating conditions, requiring structured interpretation before any meaningful analysis can occur.
VibroAI acts as a virtual vibration analysis expert, converting raw signals into a set of physically meaningful diagnostic features, numerical representations of the patterns an experienced analyst would examine manually. It automatically detects rotating speed directly from the vibration waveform and as machine speed and load fluctuate, VibroAI dynamically adjusts, ensuring precise results in every measurement cycle.
All calculated values are instantly available in an intuitive dashboard, streamlining analysis and decision-making for vibration analysts. These same values also serve as the entry point for the machine learning model, feeding directly into the diagnostic process described below.
Vibration Monitoring in Action
From waveform to initial fault assessment
Rotating speed anchors nearly every diagnostic calculation in vibration analysis. VibroAI detects it automatically from the data, no dedicated speed sensor needed, then extracts key features: amplitudes at 1x, 2x, and 3x running speed, bearing defect frequencies, and RMS values across frequency bands. This holds up even as speed and load vary, where frequency range based methods tend to lose accuracy.
Extracted features are compared against established fault signatures, including rotor unbalance, misalignment, and bearing defects. This pattern matching runs on every reading, not just threshold-crossing ones, producing a health score on a percentage scale, even without a historical baseline. Results appear on your dashboard the moment they're calculated, giving you an initial fault assessment right away.
Analytical vs. Generative AI
Complementary layers of predictive maintenance intelligence
In industrial machine diagnostics, the real work of understanding equipment health is done by Analytical AI, the layer that processes vibration data, detects faults, and applies the laws of physics. Analytical AI detects, classifies, and quantifies asset operating states and fault conditions. Generative AI creates, summarizes, and explains information.
VibroAI's diagnostic conclusions come from deterministic signal processing and statistically validated models, which means results are reproducible, auditable, and physically interpretable. Generative AI has a role too, as a communication layer that turns analytical output into plain-language summaries, but the diagnostic logic itself stays firmly rooted in physics and data.
VibroAI Diagnostics
Expert-in-the-Loop Model Training
Once enough data has been collected, a machine learning model is trained to define the structure within it. Every new operating condition, whether a change in load or speed, and every developing fault finds its place within that structure.
Rather than reviewing every reading, an analyst reviews and classifies only a small fraction, sometimes a few datasets out of hundreds or thousands, labeling operating condition, fault type, and severity to train the model further. From then on, the analyst is only called back in for a new operating condition or a genuine anomaly. This is what makes VibroAI's Expert-in-the-Loop approach different from traditional condition monitoring: the AI gets trained capturing analyst's expertise.
VibroAI Integrations
Flexible Implementation, In and Out
VibroAI supplies a complete condition monitoring solution, including sensors and gateways, so you don't need to source and integrate hardware from separate vendors to get started.
For facilities with existing infrastructure, VibroAI connects just as readily to what you already have, whether you use IoT sensors for permanent installation, route-based data collection, legacy wired vibration sensors, or your own database via custom integration. This flexibility means you don't need to replace hardware that's already working well to get the benefit of automated diagnostics.
Results are delivered through a dashboard, automated alerts, reports, and API connections to your CMMS and third-party systems. VibroAI is available today as a cloud-based platform, with an on-premises server version coming soon for facilities that require local deployment.