Portable Vibration Meter With Color LCD Display Digital Vibration Analyzer For Accurate Acceleration And Displacement Testing Handy Pro Grade Tool For Precision Measurements
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Precio habitual
220.95
Precio de oferta470.00Ahorras249.05
SKU: VXB0FMRD3WN2
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Portable Vibration Meter with Color LCD, Single Unit
✔️ Measures displacement, velocity, acceleration and frequency with range
✅ Color LCD display offers multi-direction viewing for easy data reading
✅ Measures displacement, velocity, acceleration, and frequency with range and accuracy
✅ Acceleration: 0.1-199.9 m/s²; Speed: 0.1-199.9 mm/s; Displacement: 0.001-1.999 mm
✅ Frequency ranges: HI 1 kHz-4 kHz; LO 10 Hz-1 kHz for different tests
✅ Maximum data storage: 7 groups
✅ Power: 1.5V AAA x 2 (not included); Includes probe and instruction manual
✅ Included: Package contents: 1 x Vibration Meter (Battery Not Included), 1 x Probe, 1 x Instruction Manual
✔️ Measures displacement, velocity, acceleration and frequency with range
Portable vibration meter is a handheld digital tool used to capture and analyze vibration data for maintenance, testing labs, and shop-floor diagnostics.
✅ ABS body for durable, wear-resistant performance across environments✅ Color LCD display offers multi-direction viewing for easy data reading
✅ Measures displacement, velocity, acceleration, and frequency with range and accuracy
✅ Acceleration: 0.1-199.9 m/s²; Speed: 0.1-199.9 mm/s; Displacement: 0.001-1.999 mm
✅ Frequency ranges: HI 1 kHz-4 kHz; LO 10 Hz-1 kHz for different tests
✅ Maximum data storage: 7 groups
✅ Power: 1.5V AAA x 2 (not included); Includes probe and instruction manual
✅ Included: Package contents: 1 x Vibration Meter (Battery Not Included), 1 x Probe, 1 x Instruction Manual
💡 What is a portable vibration meter used for in equipment maintenance and predictive maintenance?
This handy tool helps monitor and analyze vibrations to protect equipment health.
- handheld vibration measurement for motors, pumps, gearboxes - displacement, velocity, acceleration, and frequency analysis for trend data - supports predictive maintenance by spotting early fault signatures ✝️
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