24-hour AI Motor Doctor

AI Motor Diagnosis, SignalVAX

AI technology safeguarding the factory’s heart: the motor

SignalVAX uses AI to monitor motor conditions in real time, detecting issues early and preventing downtime.

Easy motor maintenance no expert needed

SignalVAX delivers real-time motor status, AI diagnostics, and root-cause analysis—easy to use and maximising equipment uptime.

SignalVAX

Why You Should Implement SignalVAX

  • Real-time monitoring and automatic issue detection easy for anyone.

  • Immediate alerts for early fault detection, minimising downtime.

  • Remote monitoring and control anytime, anywhere boosting management efficiency.

  • Just install the module in the MCC bay no equipment changes, fast deployment.

SignalVAX

Architecture

Based on the Thingplus platform, it utilises power metering equipment and Edge Gateways to collect data in real time and provide analytical insights.

  • AI diagnostics analysing the motor’s electrical signals

    SignalVAX analyses power signals and PSD data in real time, using AI to detect early abnormalities and pinpoint likely failure areas.

  • Live data viewing and storage capacity provision

    The Edge Gateway processes and visualises data in real time, storing it efficiently for long-term analysis and maintenance.

Reading Motors with AI

AI analysis of voltage and current enables detailed fault diagnosis and proactive maintenance for each motor.

Beyond data, towards insight

Visually analyse motor parameters and PSD data to find root causes and optimise maintenance.

What matters is a swift response

Multi-channel alerts with priority settings enable rapid response and minimise downtime.

Remote management anywhere, anytime

Motors in any environment can be monitored and managed remotely in real time for maximum efficiency.

Why SignalVAX Leads the Way

Analyses motors in real time to maximise equipment stability and efficiency.

  • It uses more precise current, voltage, and power analysis to detect faults in advance.

  • AI trained on 13M+ data points predicts failure likelihood and keeps improving over time.

  • Under seven days, AI diagnoses faults fast results.

  • Supports diagnostics and energy management without equipment changes.