Detect Issues Earlier
Identify changes in vibration and temperature before machine performance declines.

Predictive maintenance uses equipment condition data to reveal developing issues before failures interrupt operations. It helps teams focus on assets where risk is beginning to rise.
LSV01 provides the temperature and vibration data needed to support predictive maintenance across critical rotating equipment.
Identify changes in vibration and temperature before machine performance declines.
Focus inspections and maintenance on assets showing meaningful signs of risk.
Replace routine checks on healthy assets with condition-based maintenance decisions.
Schedule service around production needs instead of reacting to unexpected failures.

Capture vibration frequency, Beschleunigung, Geschwindigkeit, and displacement across the X, Y, and Z axes. Changes in vibration trends can help identify patterns associated with bearing wear, Ungleichgewicht, Fehlausrichtung, looseness, and other mechanical issues before equipment performance is seriously affected.

Vibration reveals mechanical changes, while temperature adds thermal context. Zusammen, they help distinguish temporary fluctuations from developing equipment problems and reduce false alarms.

With a capable analytics platform, LSV01 data can help identify patterns linked to lubrication issues, bearing wear, Ungleichgewicht, Fehlausrichtung, and looseness.
Analytics output depends on the customer platform and configuration.
Review abnormal trends and confirm the issue needs attention.
Assess severity and asset criticality to decide what to handle first.
Plan maintenance at the right time to reduce disruption and downtime.


The IP67-rated enclosure helps protect the sensor against dust and water, making it suitable for demanding industrial environments where moisture, Staub, and machine vibration are common.





| Wireless Protocol | LoRaWAN |
| Supported Frequency Bands | Multiple regional frequency bands available, including EU868, US915, AS923, and AU915 |
| Maximum Transmit Power | 19 dBm |
| Temperaturmessbereich | −40 °C to 125 °C (−40 °F to 257 °F) |
| Temperaturgenauigkeit | ±1 °C (±1.8 °F) |
| Temperaturauflösung | 0.1 °C (0.2 °F) |
| Vibration Measurement Axes | Three-axis (X, Y, Z) |
| Vibration Parameters | Peak acceleration, RMS velocity, and peak-to-peak displacement |
| Velocity Measurement Range | 0.1 Zu 199.9 mm/s |
| Velocity Measurement Accuracy | ±10% at 100 Hz |
| Betriebstemperatur | −10 °C to 80 °C |
| Betriebsfeuchtigkeit | 10% Zu 95% RH, nicht kondensierend |
| Ingress Protection | IP67 |
| Batteriekapazität | 8,500 mAh (austauschbar) |
| Einschalten / Aus | Internal slide switch |
| Mounting Options | Stud mounting or magnetic mounting |
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