Jarvis · Predictive Maintenance & Condition Monitoring
From Sensor to Insight. Predictive Maintenance for Rotating Equipment.
Sample machine health dashboard
Select a measurement point to see its spectrum, waveform and health trend.
Measurement points
Number = Overall Machine Health Index (OHI), 0–100.
Stamping press SP-03
AlertMain drive gearbox bearing · 1,480 rpm · Automotive manufacturing
FFT spectrum
orders of running speedTime waveform
OHI trend · 30 days
Pattern observed
Peaks near the bearing outer-race frequency (BPFO) with harmonics, a pattern worth investigating further.
Indications support, and do not replace, review by a qualified engineer.
From Sensor to Insight.
Jarvis follows a simple path: measure the machine, analyse the signal, score its health and tell people when it changes.
- 01
Sensors
Vibration and temperature sensors mounted on bearing housings. Quick, non-intrusive installation.
- 02
Raw data
Raw vibration time signal and bearing casing temperature, captured continuously.
- 03
Analysis
FFT spectrum and time waveform analysis, tracked against each machine's own baseline.
- 04
Health score
An Overall Machine Health Index from 0 to 100, with a severity level for each point.
- 05
Dashboard & alerts
A real-time dashboard with automated health scoring and alerts when behaviour changes.
What Jarvis Does Today.
These capabilities were demonstrated in the Jarvis pilot.
Vibration analytics
- Real-time FFT and time waveform
- Bearing fault frequency tracking
- Imbalance and misalignment detection
- Trend monitoring against baselines
Health scoring
- Overall Machine Health Index (0–100)
- Severity classification
- Bearing temperature monitoring
- Real-time dashboard
Manual analysis
- Upload recorded data as CSV files
- Machine health scoring on uploaded data
- Results saved locally for review
The wider Jarvis platform · in development
Infrared thermography
Electrical panel scanning, transformer audits and hotspot detection.
Oil monitoring
Contamination, viscosity, moisture, particle count and wear debris.
AI fault classification
Models that classify bearing faults, imbalance and misalignment.
Alert engine
AI-based anomaly detection, automatic thresholds and multi-channel notifications.
Enterprise dashboard
Fleet views, maintenance scheduling and automated reporting.
Reliability services
Subscription monitoring, training, certification support and workshops.
Water Circulating Pump Monitoring.
The pilot set out to show Jarvis’s real-time condition monitoring on rotating equipment, using quick, non-intrusive sensor installation and no capital expenditure for the plant.
- Facility
- MSME workshop unit
- Equipment
- Water circulating pump
- Deployment
- Rental sensors, no capital expenditure
Set-up
Vibration and temperature sensors were mounted on the motor bearing housings. Data was sent to the Jarvis dashboard, which captured the raw vibration signal and bearing casing temperature, ran FFT and time waveform analysis, and produced an Overall Machine Health Index.
What the pilot showed
- Captured vibration signatures at the motor measurement points.
- Identified a 1× running-speed component and broadband noise in the FFT, consistent with flow-related effects.
- Demonstrated a real-time dashboard with automated health scoring.
- Validated the data collected by the real-time sensors.
The pilot shows that Jarvis works for small operations as well as large ones. Renting the sensors removes the upfront cost that often stops smaller sites from starting condition monitoring.
Designed for Automotive Manufacturing.
Jarvis also works on rotating equipment in many other sectors.
- Primary focus
Automotive manufacturing
Robotic arms, conveyors, CNC machines and stamping presses.
Oil & gas
Pumps, compressors, turbines, pipelines and motors.
Solar & battery
Inverters, transformers, trackers and thermal systems.
Mining & metals
Crushers, mills, conveyors, haul trucks and pumps.
Marine & shipping
Engines, propulsion, pumps and onboard machinery.
Ports & logistics
Conveyor systems, handling equipment and refrigeration.
MSMEs & general industry
Water pumps, motors, compressors and HVAC systems.
What Comes Next.
- 01
Wider deployment
Extend monitoring to motors, compressors and cooling tower fans.
- 02
More sensors
Onboard additional sensor types and measurement points.
- 03
Oil and thermal modules
Integrate oil analysis and infrared thermography.
- 04
AI model refinement
Fault classification for bearing defects, imbalance and misalignment.
- 05
Enterprise rollout
Fleet views, maintenance scheduling and automated reporting.
Shown in this demonstration
- How a machine health dashboard is laid out.
- FFT spectrum, time waveform and health index trend for a selected point.
- Fictional sample data for six fictional machines.
Not shown on this page
- Data from the pilot site or any real machine.
- A live sensor connection.
- Validated accuracy or performance figures.
Next step
Talk to Us About Predictive Maintenance.
Book a demonstration to see Jarvis and discuss a pilot on your own equipment.