Datasheet e-PCM — A4 · 2 pages
Permanent predictive monitoring for AC generators. Same product family as e-MCM and AMT Pro.
Your generator knows when it's about to fail.
Learn to listen.
The e-PCM (Predictive Condition Monitor) is the permanent predictive monitoring system for AC generators: diesel, wind, hydroelectric, steam. It connects to the control panel terminals, samples three-phase voltage and current at 10,000 Hz per channel and automatically builds a digital twin of the generator. From that point on, it continuously detects electrical, mechanical and insulation faults — weeks or months before shutdown.
What it measures
- Voltages Vr, Vs, Vt and currents Ir, Is, It
- Voltage and current imbalance
- Active, reactive and apparent power
- Power factor and cos φ
- Voltage and current THD (harmonics)
- PSD across three complementary bands
- Supply frequency and actual rotation speed
- Instantaneous operating efficiency
Electrical faults detected
- Inter-turn short circuits in stator winding
- Insulation degradation: thermal, moisture, wear
- Stator winding looseness
- Broken rotor bars or end-ring cracks
- Static and dynamic rotor eccentricity
- Negative phase sequence
- Under-excitation and overvoltage
- VFD interference and supply quality issues
Mechanical faults detected
- Mechanical imbalance and misalignment
- Loose or deteriorated foundation
- Bearings: inner/outer race, rolling element, cage
- Gear wear and gear mesh
- Loose belts and drivetrain backlash
- Rotor physical damage due to corrosion
- Brush and commutator problems
- Structural resonance and soft-foot
The generator is its own sensor.
ESA analyses three-phase voltage and current at 10,000 Hz to detect mechanical and electrical faults with no on-board sensors. The model-based approach of the e-PCM separates the contribution of the supply network from the actual fault, eliminating false alarms. The digital twin is built automatically in the first hours of operation and is continuously updated as load and operating conditions change.
Hydroelectric plant · 6 generators
+ 1 loose foundation
Six hydraulic generators connected simultaneously. The e-PCM compared the electrical signatures of all units in real time, identifying anomalies that traditional protection systems had not flagged — before they reached the alarm threshold.
Big Data 10M+
25 years of electrical signatures compared for every diagnosis.
Digital Twin
Self-learned generator model. Adaptive baseline.
Algorithm + Report
Fault type, severity and estimated time to failure.
Also as a Service
e-PCM rental with technical report included. No upfront investment. Up and running in 1 day.