
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

Continue asset monitoring

Detects motor component
and system faults

Evaluate reliability, production,
energy waste stream in real-time


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
-
Bearing failure
-
Mechanical
-
unbalance
-
Misalignment
-
Broken rotor bars
-
Static and Dynamic Eccentricity
-
Stator Mechanical Conditions
-
Inrush Conditions
-
Torque
Power Analysis
-
Efficiency and Circuit Impedance
-
Voltage Over, Under and Unbalance
-
Current Over, Under and Unbalance
-
Power and Power Factor
-
Voltage and Current Harmonic Distortion
VFD
-
VFD component failures through power quality indicators and increases in spectral energy
Driven Equipment
-
Direct Drive
-
Belted
-
Pump
-
Fan
-
Gearboxes
Process
-
Clogging
-
Cavitation
-
Process change
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

Maximize return on investment

Improve machine performance and lifespan

Cut down on routine inspections and time-based maintenance