MachBeat Simulation Center
Simulate an industrial machine, introduce a developing fault, and see how predictive maintenance detects the problem before failure.
Synthetic machine data — demonstration only. Predictions are simulation estimates, not validated industrial performance. Local session only — refresh clears state.
Configure your machine
Accelerated time so you can observe degradation in seconds.
Experimental: publishes synthetic telemetry to a MachBeat API. Not for normal visitors. Requires a running backend + provisioned device token.
Choose a scenario
Machine condition
At 100×, one real second ≈ 100 simulated seconds. Dashboard refresh ≈ 0.4s.
What changed?
Baseline is still being learned…
Normal vs current
| Normal | Current |
|---|
MachBeat detected a change in machine behavior
Anomaly level: MODERATE
Statistical anomaly scoring — simulation
Why?
Risk estimates the likelihood of reaching the simulated failure state within the selected horizon. Health = current condition; Risk = future failure likelihood.
Prediction horizon: remaining simulated run
—
Detected at —
Evidence
Recommended action
—
Likely problem
—
Confidence: —
Machine timeline
Sensor data quality
● Data flowing normally
Technical data ▸
| Time | RPM | Vib | Temp | Curr | State |
|---|
System architecture LOCAL SIMULATION
Virtual Machine → Sensor Generator → Telemetry → Feature Engine → Statistical Score → Alert Engine → Dashboard
All stages above run in this browser. Packet/analysis counts are real simulation counters, not a live cloud pipeline.
Packets: 0 · Analyses: 0 · Latency: —
Machine recovering
Waiting for maintenance completion…
Why predictive maintenance matters
Normal → Degradation → Failure → Downtime
Normal → Degradation → Detection → Warning → Maintenance → Recovery
See MachBeat with your machine data
This simulator uses synthetic data to demonstrate the predictive-maintenance workflow. A real deployment connects to your telemetry and learns your equipment's operating behavior.