EDGE REST / PORT 80
/api/calibration · /api/dsp · /api/meterCalibration, electrical context and runtime DSP configuration.Built on SIIP / SPICA Industrial Intelligence Platform
PumpSpectra™ / Rotating Equipment Intelligence
See what the motor sees.
PumpSpectra is the first condition-intelligence product built on SIIP. It turns synchronized electrical signals into physics-gated diagnosis, stable asset state and explainable maintenance intelligence for motors, pumps and the systems they drive.
32 kS/sSynchronized acquisition
7Current, voltage + neutral channels
262,144High-resolution global FFT points
24/7Autonomous collection workflow
One evidence chain
From cabinet current to a maintenance decision.
Built on the SIIP signal-to-decision architecture, PumpSpectra keeps the complete path traceable. Every conclusion can be followed through context, fault gates and temporal state to the synchronized waveform.
- 01
Acquire
Capture IA, VA, IB, VB, IC, VC and neutral together at 32 kS/s, aligned to a measured grid zero crossing.
- 02
Contextualize
Bind the waveform to calibration, meter data, DSP context, motor poles, speed and exact bearing geometry.
- 03
Decide
Run deterministic C++ FFT and MCSA with physics gates, noise evidence and multi-signal corroboration.
- 04
Persist & explain
Store the evidence, stabilize state over time and let bounded local AI communicate the approved maintenance action.
Intelligence at the asset
Built for the industrial edge.
The reference acquisition design routes three voltage and four current paths through RF and anti-alias filtering into the ADE9000. The ESP32 edge node captures calibrated context and synchronized waveforms close to the motor; the CPU/GPU core combines MCSA, full-band FFT, exact bearing geometry, rotor sidebands, pump evidence and power-quality context without reducing the result to a black-box score.
- Non-intrusive monitoring from the electrical cabinet
- Three voltage and four current paths with front-end filtering
- Zero-crossing aligned 32 kS/s waveform capture
- Drive-end, non-drive-end and impeller context
- Deterministic urgency, action and rationale
WAVEFORM TCP / PORT 8080
INFO · CAPTUREVersioned 3,610-byte frames with 128 synchronized sets across seven channels.ANALYSIS CORE
motor_fft_cpu · motor_fft_gpuGlobal FFT, MCSA, fault competition, per-bearing and pump evidence in schema v2 JSON.SIIP DATA + STATE
MongoDB · health · historyMeasurements, spectra, alerts, temporal state and maintenance recommendations.Verified diagnostic scope
Fault evidence organized by physical domain.
PumpSpectra does more than label a spectrum. It resolves competing signatures, records contamination and preserves the exact features that support—or prevent—a diagnosis.
Rotor electrical faults
Broken-bar and eccentricity sidebands are evaluated against refined f0, mechanical speed, slip validity, local noise and phase corroboration.
- Broken bar
- Eccentricity
- Slip estimate
Shaft & mechanical condition
Competing signatures are compared so rotor unbalance, misalignment and looseness are not reported from the same line without context.
- Rotor unbalance
- Misalignment
- Looseness
Drive-end & non-drive-end bearings
BPFO, BPFI, BSF and FTF are calculated per bearing, with x2/x3 harmonic evidence, confidence and grid-contamination proximity.
- BPFO / BPFI
- BSF / FTF
- DE / NDE
Pump & impeller
Impeller blade count drives blade-pass and fifth-harmonic sideband analysis; load imbalance and low-frequency energy add corroborating evidence.
- Blade pass
- Impeller imbalance
- Cavitation evidence
Power-quality context
Current and voltage THD, H3 coupling, phase imbalance and calibrated metering separate supply conditions from asset behavior.
- THD
- Grid-coupled H3
- Current imbalance
Time-frequency evidence
STFT, synchrosqueezed ridges, Haar/db4 wavelets, WPT and joint voltage-current tracks reveal persistence and transients without replacing global FFT gates.
- STFT / SST
- db4 / WPT
- V-I tracks
Trust logic
A diagnostic engine designed to refuse weak conclusions.
- 01No valid physics, no rotor claim
Broken-bar and eccentricity flags require valid f0, poles, speed and slip, plus resolvable sidebands.
- 02No isolated impeller peak
Impeller imbalance requires at least two corroborating signals across blade-pass, rotor asymmetry and current imbalance.
- 03No false bearing localization
When DE and NDE characteristic frequencies are too close, the system reports ambiguity and requests physical inspection.
Two evidence paths
Diagnose the capture. Then understand the history.
Immediate and historical diagnoses are separate services with separate evidence boundaries. Both use the same deterministic facts; only the historical path adds persistence and temporal context.
CAPTURE MODE
Immediate diagnosis
POST /diagnose_fftConsumes a supplied FFT JSON and returns a deterministic, explainable report without reading or writing MongoDB. It is suitable for a live capture or an isolated engineering review.- Stateless
- Same physics pipeline
- Exact capture evidence
HISTORY MODE
Trend diagnosis
POST /diagnose_historyAnalyzes a selected days, hours or last-N window, measuring fault persistence, health movement, bearing trends, pump evidence and maintenance urgency.- Windowed history
- Persistence & deltas
- Maintenance context
Local AI explains these results after the deterministic assessment. It is not permitted to convert a rejected flag into a confirmed fault.
PumpSpectra film
Field asset. Factory system. One connected story.
The supplied PumpSpectra footage has been normalized and assembled into one continuous film, with a single player and a seamless visual transition.
Real product interfaces
One operational picture, from waveform to diagnosis.
These are working PumpSpectra views—not conceptual dashboards. Open any image to inspect the original interface at full resolution.
Technical library
Read the engineering behind the product.
Download the field paper, product brief, verified acquisition API reference and standalone CPU-engine manual directly from this page.
Field research · English
Field-Validated Multi-Bearing MCSA
A five-page paper covering synchronized acquisition, per-bearing evidence, harmonic corroboration and field results from a 10 HP motor-pump campaign.PDF · 5 pages · 262 KBDownload PDFTechnical brief · Spanish
PumpSpectra MCSA Technical Brief
A visual introduction to diagnosing mechanical faults from motor current—without installing vibration sensors on the machine.PDF · 4 pages · 91 KBDownload PDFFirmware reference · English
ADE9000 REST + TCP Endpoint Guide
A source-verified map of 30 firmware endpoints for measurement, calibration, DSP, protection and versioned 32 kS/s WaveFrame capture.PDF · 13 pages · 495 KBDownload PDFCPU engine reference · English
motor_fft_cpu Complete Technical Reference
A source-derived guide to the standalone C++23 CPU engine: its 65,536-point FFT baseline, seven-channel frame decoding, motor physics, bearing frequencies, hypothesis scoring and JSON output.PDF · 21 pages · 259 KBDownload PDFOfficial & independent sources
Supporting technical references.
Manufacturer documentation and independent research remain on their publishers' sites. These links provide engineering context and do not imply SPICA authorship or third-party endorsement.
Manufacturer referenceADE9000 Data SheetAnalog Devices · Product specificationsView official source Manufacturer referenceADE9000 Technical Reference ManualAnalog Devices · User Guide UG-1098View official source Manufacturer application noteUsing the ADE9000 Waveform BufferAnalog Devices · Application Note AN-1483View official source Independent researchTemporal Reasoning for Pump Fault DiagnosisProcesses 2025, 13, 2624 · Open accessView official source
Bring the signal into focus