Advanced Electrical Signal Analysis for Critical Assets
As an authorised distributor of Electrosine Technologies, we provide cutting-edge solutions for monitoring and diagnosing the health of critical electrical and rotating equipment.
Electrosine’s technology focuses on analysing electrical signals—such as current and voltage—to detect developing faults in assets including motors, pumps, and driven equipment. By applying machine learning to real-time data, the system identifies subtle changes in behaviour that traditional vibration or inspection methods often miss.
This enables a shift from reactive or time-based maintenance to true predictive maintenance—reducing unplanned downtime, improving operational reliability, and uncovering inefficiencies that directly impact cost and performance.
Through PlusSmart Technology, these solutions are delivered with practical engineering insight, ensuring that data is not just collected—but translated into actionable outcomes for your operation.
ESine3
Electrical Signature Monitoring at Scale
The ESine3 system delivers continuous electrical signal analysis for motors and driven equipment, using current and voltage data to identify emerging mechanical and electrical faults without the need for additional sensors. By applying advanced analytics to existing power signals, it enables early fault detection, condition monitoring, and performance insight—supporting a transition to predictive maintenance while reducing installation complexity and cost.
ESine4
Continuous Electrical Insight for Complex Systems
The ESine4 platform provides advanced electrical signal analysis for multi-asset environments, enabling continuous monitoring of motors and driven equipment through existing power connections. By capturing and analysing high-resolution current and voltage data, it identifies developing faults, inefficiencies, and operational anomalies in real time—without the need for intrusive sensors.
Designed for scalable deployment, ESine4 supports condition-based and predictive maintenance strategies, improving reliability, reducing unplanned downtime, and providing deeper visibility into asset performance across the plant.
Fault Categories
Broken / Cracked Rotor Bars
End-Ring Fracture
Dynamic Eccentricity
Static Eccentricity
Mixed Eccentricity
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Outer Race Defect (DE / NDE)
Inner Race Defect
Rolling Element (Ball) Defect Lubrication Degradation
Shaft / Coupling Misalignment
Mass Imbalance (Rotor/Fan/Impeller)
Mechanical Looseness
Gear Mesh Faults (Gearbox)
Broken / Chipped Gear Tooth
Coupling Wear / Belt Tension Fault
Pump Cavitation
Fan Blade Pass Anomaly
Cyclic / Pulsating Load Torque
Motor Overloading
Motor Underloading (No-Load Running)
Supply Voltage Harmonics (THDv)
Supply Frequency Deviation
VFD / Inverter-Induced Harmonics Power Factor Degradation
Motor Efficiency Decline
Voltage Sag / Swell Events
High Impedance / Connection Fault
Phase Voltage Unbalance
Phase Current Unbalance Quantification Negative Sequence Component Analysis Single-Phasing Detection (Any Phase)
Phase-to-Phase Fault Localisation
Stator Fault — Phase Isolation (A, B, C)
True 3-Phase Active & Reactive Power NEMA / IEC Derating Factor Calculation
Phase Rotation / Sequence Fault
Zero-Sequence Ground Fault Detection