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Range Rs=100 : ±40g
Frequency response : 500Hz
Resonance frequency : 2.4kHz
Bandwidth (3DB) : 1000Hz
Threshold (Resolution) : 1mg
Certification : CE
Noise density : 21 μg/√Hz
Deviation temp. coefficient : 0.01%/℃
MOQ : 1
Payment Terms : T/T
Supply Ability : 500/month
Delivery Time : 1 weeks for samples
Usage : VIBRATION SENSOR
Model Number : AKF390
Place of Origin : Guangdong, China
Brand Name : RION
Packaging Details : 1pcs accelerometer in each inner box , 80pcs /ctn
Price : $236.00/Pieces
▶ MAIN FEATURE
★ Three axes (X, Y, Z)
★ Output signal: RS232; RS485; TTL
★ Power supply voltage: 9-36V
★ Impact resistance: 2000G
★ Working temperature: -40°C ~ +85°C
★ Storage temperature: -40°C ~ +85°C
★ Size: L34.3×W34.3×H38.5mm
★ Excellent deviation stability, good environmental performance (shock, vibration and temperature)
▶ APPLICATION
★ Medical equipment
★ Bridge
★ Automobile
★ Road roller
★ Wind power generation
★ Large machinery, engines
★ Low-frequency vibration and automatic monitoring
★ Traffic system monitoring, roadbed analysis and high-speed railway fault detection
voltage output 0~5v output accelerometer
PRODUCT INTRODUCTION
The AKF390 triaxial VIBRATION SENSOR is a voltage output type VIBRATION SENSOR independently developed and produced, which can be used in many fields such as vibration test and impact test. The product adopts analog voltage output, AKF390 is a single crystal silicon capacitive sensor, which consists of a silicon chip processed by micro-machines, a low power ASIC for signal adjustment, a microprocessor for storing compensation values, and a temperature sensor. This product has low power consumption, calibrated, sturdy structure and stable output. The new electronic configuration provides solid-state power for reset and comprehensive protection from over-voltage. The products have the characteristics of sturdy structure, low power consumption, excellent deviation stability, etc., to ensure the reliability of product output.
Hope a pleasant cooperation with you !
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AKF390 Output 0 - 5V Vibration Detection Sensor Images |