AI-Driven Electrical Signature Analysis
Online continuous monitoring motor systems help eliminate unplanned downtime and provide data necessary to make and confirm production and maintenance modifications.
AI-DRIVEN ELECTRICAL SIGNATURE ANALYSIS (ESA)
ESA is based on the fact that subtle changes in a machine’s operation affect the connected motor’s magnetic field, which then affects the supply voltage and operating current Using a variety of analytical techniques
ESA provides a detailed picture of what’s going on across the drive train from motor to transmission to load.
Once detects a developing fault we will alert you in two ways through a traffic-light analysis in the online dashboard, and through an email with details on the
changes we have observed.
These alerts will also recommend next steps to resolve the specific fault at play.
Detect electrical and mechanical failures in each stage of the transmission path.
Electric motor
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Bearing failure
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Mechanical
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unbalance
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Misalignment
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Broken rotor bars
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Static and Dynamic Eccentricity
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Stator Mechanical Conditions
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Inrush Conditions
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Torque
VFD
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VFD component failures through power quality indicators and increases in spectral energy
Process
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Clogging
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Cavitation
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Process change
Power Analysis
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Efficiency and Circuit Impedance
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Voltage Over, Under and
Unbalance -
Current Over, Under and
Unbalance -
Power and Power Factor
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Voltage and Current Harmonic Distortion
Driven Equipment
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Direct Drive
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Belted
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Pump
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Fan
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Gearboxes
Analyzes current and voltage signals to detect electrical and mechanical faults.
The real-time information provided about the condition of the motor system allowed for scheduling maintenance before breakdowns occur
