SensIQ Realtime detects bearing defects, imbalance, and misalignment up to 14 days in advance — using 6-axis MEMS sensors (3 accel + 3 gyro) and AI-powered FFT analysis on any rotating machine.
The SensIQ sensor mounts on any rotating machine in under an hour and streams 6-axis vibration data (3 accel + 3 gyro) to the cloud for continuous AI-powered analysis.
Compact aluminum enclosure (IP67) with M8 connector. Stud-mount or magnetic base directly on machine surfaces — no complex wiring or PLC integration required.
Captures tri-axial acceleration and tri-axial gyroscope data simultaneously at up to 32 kHz — plus temperature and ambient sound via dedicated MEMS microphones.
Fast Fourier Transform identifies bearing defect frequencies, imbalance, misalignment, and looseness signatures from the raw vibration signal automatically.
Baseline learning + ISO thresholds + anomaly detection flag degradation up to 14 days before failure — alerts via WhatsApp, SMS, and email to the right person instantly.
Watch the sensor mounted and running on a customer's tapeline motor at a manufacturing plant. Every vibration captured. Every axis streaming. No downtime, no disruption to production.
Built for reliability engineers and plant managers who need answers — not raw data dumps.
At-a-glance view of every machine colour-coded green, amber, and red by ISO velocity thresholds. Know which machines need attention in real time.
ISO 10816 / 20816Live and historical frequency plots across all three axes with up to 32 kHz sampling — wideband FFT for early bearing and gear fault visibility. Auto-annotated dominant peaks with harmonic relationships for fast fault identification.
32 kHz samplingConfigurable caution and danger thresholds per axis, per machine. WhatsApp, SMS, and email routing to ensure the right person is always notified first.
WhatsApp nativeTrack vibration levels over days, weeks, and months. Correlate spikes to maintenance events. Watch gradual degradation trends before they become failures.
Unlimited historySimultaneous RPM, temperature, and ambient sound capture alongside vibration — giving full operational context to every single data point collected.
RPM · Temp · SoundAutomated shift, daily, and weekly reports. Raise, assign, and close maintenance tickets directly from the dashboard in one unified workflow.
PDF · Excel · APIEnterprise asset-management capabilities we are bringing into SensIQ—aligned with Aswartha Asset Management Services and Zolnoi’s Energy Efficiency, Factory Ops, and Asset Health products. Each row shows how the live dashboard experience could look for that module.
Real-time condition monitoring and health assessment using advanced IoT sensors and analytics.
IoT · Health scoringComprehensive TCO modeling and optimization to maximize asset value throughout its operational life.
TCO · CapEx planningAI-driven maintenance planning and scheduling to prevent failures before they occur.
ML · SchedulingStrategic asset prioritization and risk mitigation to focus resources on what matters most.
Risk matrixVirtual asset modeling and simulation for enhanced decision-making and optimization.
Physics-based modelsSeamless maintenance management system integration to enhance existing workflows.
API · SyncRoot cause analysis and failure prevention through structured problem-solving methodologies.
FMEA · TrainingPerformance insights and improvement recommendations through comprehensive audits.
KPI · RoadmapsUnify production, maintenance, and energy data for savings—not a standalone energy-only view. Product- and process-level energy with time-series AI to optimize under real plant load.
Plant load AI · KPIsDerive productivity from electric current at each machine—plus optional control signals without heavy PLC integration. AI assistant and opportunity insights; install in minutes and go live in weeks.
Current signature · OEENon-invasive electric current signature analysis (ESA) for motors and transmissions—meter at the supply panel instead of sensors on the equipment. Extend models for industry-specific faults; continuous learning for accuracy.
ESA · Non-invasiveA gentle, slowed-down walkthrough: raw vibration → spectrum (FFT) → “is this normal?” (anomaly) → how much life might be left (RUL) and overall health. All numbers are illustrative — your production system would use real sensor data and your own models.
How to use this — Start with Pause if you want to read without things moving. Scenario sets how “sick” the simulated machine is at the start. Wear rate controls how fast the fault develops while Play is on (higher = faster). Reset snaps back to the scenario defaults.
Tip: the blue highlight above shows which step is “running” in the story; it moves slowly so it’s readable.
Each point is vibration amplitude vs time. As wear increases, the pattern gets busier — more shock from a degrading bearing.
FFT shows how strong vibration is at each frequency (Hz). The demo adds peaks near 59 Hz (BPFI-style) when wear grows — typical of a rolling-element bearing fault on the inner race.
0 ≈ looks like normal history; high ≈ more energy in fault-frequency bands. Here it’s computed from the spectrum (demo heuristic), not a trained model.
RUL = rough “days before wear reaches failure region” in this toy simulation. Real RUL needs history, loads, and validated models — treat this as a narrative number.
The Health ring is the same story in one glance: 100 = good; it falls as simulated wear rises.
Demo uses synthetic bearings-related peaks (~59 Hz BPFI, harmonics) plus process noise. Anomaly and RUL are heuristic transforms of defect energy — replace with your Isolation Forest / LSTM+Kaplan–Meier stack as needed.
Green, amber, and red zones configurable per machine and axis — aligned to ISO standards or your own thresholds.
Click any point on the velocity trend to instantly see the FFT spectrum at that exact moment. Trace peaks to bearing BPFI, BPFO, BSF fault frequencies.
X, Y, and Z channels overlaid on a single spectrum with colour-coded traces and interactive tooltips showing exact frequency, amplitude, and timestamp.
Raise, assign, and close maintenance tickets directly from the alert view — one platform for monitoring and maintenance.
If it spins, we monitor it — across heavy industry, manufacturing, oil & gas, and utilities.
Keep production lines running. Monitor CNC spindles, cooling fans, conveyor drives, and compressors before they cause unplanned stoppages that erode OEE.
Crushers, mills, kilns, and steel process equipment operate under extreme loads. Detect early bearing degradation, structural looseness, and drive-train wear before catastrophic failure.
Refineries, pipelines, and processing plants rely on pumps, compressors, and turbines operating 24/7. SensIQ keeps them running with continuous wideband vibration monitoring.
Power plants, water treatment, HVAC systems, and critical infrastructure depend on reliable rotating assets. SensIQ enables proactive maintenance to prevent service disruptions.
From the maintenance floor to the boardroom — SensIQ gives every stakeholder the view they need.
Vibration analysis & fault diagnosis
Work planning & team coordination
Operational visibility & KPIs
Strategic asset management
Hear from the engineers and managers who rely on SensIQ every day.
"We went from reactive firefighting to predicting failures two weeks out. SensIQ paid for itself within the first quarter."
"The FFT analysis quality rivals systems costing 5× more. 32 kHz sampling on a wireless sensor is a game-changer for our rotating equipment."
"Installation took 2 hours for 40 machines. The WhatsApp alerts mean our team never misses a critical threshold breach — even on night shifts."
"Finally, a condition monitoring platform our whole team actually uses — from the technician on the floor to the plant head reviewing KPIs."
"The ML anomaly detection caught a bearing inner-race defect that our route-based program missed. Saved us a $180K compressor rebuild."
"We evaluated five vendors. SensIQ was the only one with real-time FFT, in-app service orders, AND WhatsApp alerts — at a fraction of the price."
See how SensIQ Pro stacks up. All SensIQ Pro specs are verified — please confirm IntellyVibe Ultra specs on the vendor datasheet.
| Specification | SensIQ Pro | IntellyVibe Ultra |
|---|---|---|
| Max Sampling Rate | 32 kHz 6-axis | 25.6 kHz (single-axis) |
| Triaxial Vibration | ✓ Simultaneous 6-axis (3A+3G) | ✓ Sequential |
| FFT Resolution | 6400 lines | 3200 lines |
| Temperature Sensor | ✓ Built-in | ✓ Built-in |
| Auxiliary Channels | ✓ Speed / process inputs | — |
| Analytics Stack | ML anomaly + RUL + health score | Threshold alerts only |
| ISO Threshold Engine | ✓ 10816 / 20816 auto | Manual config only |
| WhatsApp / SMS Alerts | ✓ Built-in | — Email only |
| In-App Service Orders | ✓ Photo + notes | — |
| Deployment Time | Same day (cloud-ready) | 2–4 weeks (on-prem setup) |
| Wireless Protocol | BLE 5.0 + Wi-Fi | BLE 5.0 |
| Battery Life | Up to 3 years | Up to 2 years |
| IP Rating | IP68 | IP67 |
Comparison based on published specifications. Please verify IntellyVibe Ultra details on the vendor datasheet.
Can't find what you're looking for? Our team is happy to help.
Ph: +65 8210 0288 · Email: contact@sensiq.pro · Address: River Valley Rd, Sg
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Ph: +65 8210 0288 · Email: contact@sensiq.pro · Address: River Valley Rd, Sg