Industrial vibration sensors with a decision behind every reading.
Measuring vibration is not enough. The signal needs asset, operating condition, and action threshold context to distinguish normal variation from real risk.
Observe real condition
Relate the signal to load, speed, batch, and machine state.
Reduce false alarms
Use reviewable thresholds and evidence before stopping production.
Act with traceability
Turn an anomaly into a review, work order, and historical learning.
A sensor does not diagnose by itself
A high reading can reflect load, mounting, or an emerging fault. Without operating context, a trend can trigger intervention too early or too late.
Data must survive the shift
Asset condition, measurements, and intervention must remain connected so analysis does not depend on the technician who happened to be there.
Start where the decision matters
Prioritize critical equipment, define a baseline, and review the signal with operations. Expand coverage after proving usefulness.
The sensor in the app
The vibration sensor alerts and the shift knows what to do.
The reading arrives through the gateway, is compared with its threshold and, if it crosses it, leads to the work order.
01
Vibration rises; the alert opens the work order
The M-204 sensor reads 4.1 mm/s against a 3.5 threshold and the bearing at 78 °C. The alert reaches the maintenance channel at 10:02, Matías confirms with a photo and Carla approves work order 42 for Luis. The Jul 14 failure sits right next to it.
02
Every gateway signal, with its last reading
What arrives, over which protocol and at what time. Sugar silo 1 stopped responding at 05:40: the app flags it, notifies maintenance and meanwhile the shift measures it by hand.
Related
Take vibration from signal to action
Start free with the app. Your team logs from the first shift.
- 1Create your company, free
- 2Pick your trade: maintenance, production or safety
- 3Add systems and machines when you want
No credit card. Your data stays yours.