Domex-Engine

An AI platform for online monitoring, health diagnostics, and Digital O&M—built for industrial compressors.

4 Diagnostic data typesProcess / vibration / health / asset records
9 Diagnostic modulesVibration, surge, energy, OEE, and more
7×24 Online monitoringCritical point inspection and tracking
3 Step response loopAlert → diagnosis → action

Four industrial data streams
into one diagnostic engine

From DCS process parameters to vibration spectra, health scores to asset records—Domex-Engine unifies field signals into one diagnostic context for proactive inspection, trend alerts, and AI-assisted diagnosis.

01

Remote monitoring

Live DCS graphics and key process parameters create a real-time operating picture.

02

Health monitoring

Point comparisons, health scores, surge analysis, and alert history capture early baseline deviations.

03

Advanced analytics

OEE, energy, vibration spectra, and characteristic frequency analysis provide the engineering layer for AI decisions.

04

Asset management

Asset records, maintenance history, alert logs, and knowledge base entries make every diagnosis traceable.

AI Diagnostic
Agent

Puts monitoring data, health status, spectral analysis, and asset records in one diagnostic context so operators can quickly assess cause, risk level, and next actions.

Operators can ask directly about vibration, surge, energy, and maintenance decisions and receive evidence-backed recommendations.

Air compressor vibration is abnormal—what could be the cause?
Reading spectra, health scores, and alert history...

Based on live spectra and health history for this air compressor, the pattern most closely matches misalignment or mechanical looseness. Prominent 2× with 1× variation—start with mechanical verification.

MisalignmentProminent 2×Elevated axial vibration; recheck coupling alignment
Mechanical looseness3×–4×Waveform distortion; verify anchor bolts and base
Bearing defectBPFO / BPFINo stable high-frequency band yet
Oil whirl0.42–0.48×Sub-synchronous features not evident
78%

Suspected misalignment confidence. Prioritize coupling alignment and check anchor bolts and soft foot.

If 2× persists, what should we check next?
Comparing duty changes, maintenance records, and characteristic frequencies...

If 2× persists, do not replace parts immediately. Rule out installation and thermal effects before assessing rotor or bearing support issues.

  • Recheck alignment cold and hot; confirm radial and face clearances within tolerance.
  • Check anchor bolts, base stiffness, and soft foot; see if 2× varies with load.
  • If it persists after adjustment, assess support systems using bearing temperature, oil pressure, and high-frequency envelope spectra.
FirstAlignment recheckLow cost, high hit rate
NextHot-state driftMore visible after load increase
LastSupport stiffnessRequires an outage window
3 steps

Troubleshoot smallest to largest impact to avoid premature teardown.

Is this unit safe to keep running today?
Synthesizing health score, surge margin, energy, and alert trends...

No immediate shutdown trigger, but reduce load and observe for 2 hours and add this unit to shift priority inspection.

Health score82 / 100Down 4 points from yesterday
Surge margin14.3%Still above control line
Vibration trend+18%Continue tracking
Recommended actionsReduce loadRecheck spectra in two hours
Observe

Do not increase duty. If vibration rises or high-frequency bands appear, move to shutdown inspection.

Nine capability modules
covering core O&M scenarios

Nine modules spanning vibration, surge, energy, and maintenance decisions help crews enter the right analysis by issue type.

Vibration root cause

Imbalance, misalignment, looseness, bearing, and oil whirl—hit rates for five common root causes.

YouWhat fault type does this air compressor vibration indicate?
AI EngineerCross-references live spectra and history against five common root causes with hit rates.

Fault type × characteristic frequency

TypeCharacteristic frequencyHit
Rotor imbalance1×RPM dominantLow
MisalignmentProminent 2× (with 1×)High
Mechanical looseness3×–4×Low
Bearing defectHigh-frequency BPFO / BPFILow
Oil whirl0.42–0.48×RPMNone

Prioritize coupling alignment and anchor bolt tightness.

Surge margin

Calculates distance from operating point to surge and control lines in real time to determine load reduction.

YouWhat is the current surge margin? Should we reduce load?
AI EngineerReal-time calculation from operating point and surge line:
Operating point X62.4%
Surge line X48.1%
Control line X54.0%
Surge margin14.3%
Control margin8.4%

Recommendation: hold load; trigger reduction if control margin narrows below 5% within one hour.

Deep spectrum analysis

Envelope spectra compared against bearing characteristic frequencies (BPFO / BPFI / BSF / FTF).

YouHigh-frequency energy rose this week—is the bearing degrading?
AI EngineerCharacteristic frequency comparison on envelope spectra:
FeatureExpected frequencyHit
Outer race BPFO3.05×RPMModerate
Inner race BPFI4.95×RPMHigh
Ball BSF1.98×RPMLow
Cage FTF0.41×RPMNone

Conclusion: early inner-race pitting likely—offline retest within 7 days and stage matching spare.

Energy attribution

Breaks energy changes by point, duty, and time period to locate abnormal contributors.

YouEnergy index rose 8% week over week—main drivers?
AI EngineerContribution breakdown across six points:

Energy change contribution (pp, WoW)

Inlet temperature+3.2
Pressure ratio+2.1
Load fluctuation+1.8
Power factor+0.9
Night-shift window+0.6

Primary drivers: elevated inlet temperature (check cooling) + pressure ratio above design point.

OEE attribution

Decomposes OEE decline across availability, performance, and quality.

YouOEE dropped from 81% to 73% this week—main cause?
AI EngineerThree-factor breakdown:
Availability ↓−2.1pp
Performance ↓−4.3pp
Quality ↓−0.5pp

Primary driver: performance efficiency decline, strongly linked to yesterday's surge margin narrowing—review process adjustment records.

Similar events

Searches platform history, ranks by similarity, and attaches resolution records.

YouHas this 2×-dominant vibration happened before? How was it resolved?
AI EngineerFound three similar events, ranked by similarity:
TimePointResolutionDuration
2025-08-141# drive-end vibrationCoupling alignment recheck3.5h
2025-04-023# drive-end vibrationAnchor tightening + alignment5.0h
2024-11-192# NDE vibrationCoupling disc replacement12h

Inspection daily report

Scheduled night and day-shift summaries with anomaly lists and recommendations.

YouGive me last night's summary for three critical points.
AI EngineerNight inspection card generated: health scores, anomalies, recommendations.
Night summary · 03:00–07:00Auto
1# drive-end vibrationHealth 92Normal
2# NDE vibrationHealth 76Watch
3# Inlet temperatureHealth 88Normal

Two anomalies (2# NDE vibration 2× rise + 2# elevated inlet temperature); day shift to verify.

Maintenance recommendations

Priority-ranked maintenance tasks with labor, parts, and owners—one-click work orders.

YouList this week's maintenance priorities for 2# NDE vibration.
AI EngineerThree items; spare inventory auto-verified.
P1
Coupling alignment recheck
4h labor · no parts · owner: Li
P2
Cooling water strainer cleaning
2h labor · 1 filter (4 in stock) · Wang
P3
Online lube oil sampling
0.5h labor · 1 sample bottle · on-duty

Multi-unit comparison

Cross-unit health ranking plus 7-day anomaly probability heat map.

YouWhich of four like units is highest risk? Best maintenance day?
AI Engineer4# drive-end vibration has the lowest composite score (61); Saturday is the optimal window and aligns with the planned outage.
Four like units · drive-end vibration healthLower = tighter
1# drive-end vibration92
2# drive-end vibration88
3# drive-end vibration76
4# drive-end vibration61
Next 7 days · anomaly probabilityRecommended: Saturday
Mon
Tue
Wed
Thu
Fri
Sat
Sun
LowSuggested maintenance · SaturdayHigh

Proactive O&M loop from alert to action

Surfaces anomalies before morning meetings, explains causes, and packages next steps crews can execute.

STEP 01

Smart inspection

After night shift, the platform auto-generates crew summaries with points to watch, trends, and recommended actions before morning meetings.

STEP 02

Trend alerting

Example: 2# bearing temperature—platform reads collected data and AI-forecasts trajectory to catch baseline deviation early.

STEP 03

AI consultation

Operators ask directly; platform combines live data, alert history, and knowledge base with evidence-backed advice.

STEP 04

Maintenance decision

Combines health trends, similar events, spares, and windows for maintenance priority and next actions.

Three platform values

Consolidates risk, diagnostics, and experience so O&M moves from ad-hoc judgment to repeatable workflows.

Shift risk upstream

Surfaces health scores, margins, and trends before anomalies become shutdowns.

Faster diagnosis

Delivers conclusions plus spectra, history, and troubleshooting sequence in one evidence chain.

Reuse experience

Every consultation, alert, and action becomes a retrievable event record for the next similar issue.

As fast as 4 weeks
to connect your first unit

From site assessment and installation through remote commissioning—Domex-E engineering leads end to end to minimize customer coordination.

Week 1
Rapid assessment
Confirm equipment condition, data foundation, and integration goals.
Week 2
Site survey
Assess installation environment, interface protocols, and execution plan.
Week 3
Installation & integration
Complete field installation and establish device-to-platform data paths.
Week 4
Commissioning & go-live
Remote data validation, issue resolution, and platform go-live.

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