Analog Devices Inc. ADXL100x MEMS Accelerometers

Analog Devices Inc. ADXL100x MEMS Accelerometers deliver high-resolution vibration measurements for industrial-condition monitoring applications. The accelerometers are available with full-scale ranges of ±100g (ADXL1001), ±50g (ADXL1002), and ±500g (ADXL1004).

The ADXL100x Accelerometers offer a range of ultra-low noise densities from 25μg/√Hz to 125μg/√Hz, over an extended frequency range. These devices exhibit stable and repeatable sensitivity and are immune to external shocks up to 10,000g.

Analog Devices Inc. ADXL100x MEMS Accelerometers include an integrated full electrostatic Self Test (ST) function and an OverRange (OR) indicator. The ST function and OR indicator enable advanced system-level features useful for embedded applications. The accelerometers also facilitate wireless sensing product design with their low-power 3.3V to 5.25V single-supply operation.

Available in a 5mm x 5mm x 1.80mm LFCSP package, the ADXL100x MEMS Accelerometers are rated for an industrial -40°C to +125°C temperature range.


  • Single in-plane axis accelerometer with analog output
  • Overrange sensing plus DC coupling allows fast recovery time
  • Full-Scale Range: ±100g (ADXL1001)
    • ±50g (ADXL1002)
    • ±200g (ADXL1003)
    • ±500g (ADXL1004)
    • ±100g (ADXL1005)
  • Linear Frequency Response Range
    • dc to 11kHz (3dB point) (ADXL1001/ADXL1002)
    • dc to 15kHz (3dB point) (ADXL1003)
    • dc to 24kHz (3dB point) (ADXL1004)
    • dc to 24kHz (3dB point) (ADXL1004)
    • dc to 23kHz (3dB point) (ADXL1005)
  • Resonant Frequency
    • 21kHz (ADXL1001/ADXL1002)
    • 28kHz (ADXL1003)
    • 45kHz typical (ADXL1004)
    • 42kHz typical (ADXL1005)
  • Ultra-Low Noise Density
    • 30μg/√Hz in ±100g range (ADXL1001)
    • 25μg/√Hz in ±50g range (ADXL1002)
    • 45μg/√Hz in ±50g range (ADXL1003)
    • 125μg/√Hz in ±500g range (ADXL1004)
    • 75μg/√Hz in ±100g range (ADXL1005)
  • Complete electromechanical self-test
  • Sensitivity performance
    • Sensitivity stability over temperature 5%
    • Linearity
      • Linearity to ±0.1% of full-scale range (ADXL1001/ADXL1002)
      • Linearity to ±0.2% of full-scale range (ADXL1001/ADXL1003)
      • Linearity to ±0.25% of full-scale range (ADXL1004 and ADXL1005)
    • Cross Axis Sensitivity
      • ±1% (ZX), ±1% (YX) (ADXL1001/ADXL1002)
      • ±1%/±.08% ((z-axis acceleration effect on x-axis, y-axis acceleration effect on x-axis) (ADXL1003)
      • ±1.5% (Z-axis acceleration affect on X-axis; Y-axis acceleration affect on X-axis) (ADXL1004 and ADXL1005)
  • Single-Supply Operation
    • Output voltage ratiometric to supply
    • Low power consumption 1.0mA
    • Power-saving standby operation mode with fast recovery
  • RoHS Compliant
    • -40°C to +125°C temperature range
    • 5mm x 5mm x 1.80mm LFCSP package


  • Condition monitoring
  • Predictive maintenance
  • Asset health
  • Test and measurement
  • Health usage monitoring system
  • Acoustic emissions

Additional Resources

Choosing the Right Accelerometer for Predictive Maintenance
Monitoring a machine’s health status enables predictive maintenance, allowing industries to anticipate breakdowns and realize substantial operational savings and downtime. To determine when it is the right time to trigger a maintenance operation, the manufacturer uses parameters such as vibration, noise, and temperature measurements. In a rotating machine (engine, generator, etc.), an abnormal vibration can signify a faulty ball bearing, axle misalignment, imbalance, or excessive looseness. Avoid being caught off guard and detect the first signs of an anomaly with a low noise, high bandwidth accelerometer.
Learn More

Choosing The Most Suitable Predictive Maintenance Sensor
Predictive maintenance (PdM) involves techniques such as Condition-based monitoring (CbM), machine learning, and analytics to predict upcoming machine or asset failures. When monitoring the health of a machine, it is critically important to select the most suitable sensors to ensure faults can be detected, diagnosed, and even predicted.
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Analyze Vibration Data in Condition Based Monitoring (CBM) Systems  
Discover how to use LTspice® to analyze the frequency content of vibration data in condition-based monitoring systems to give an early warning of motor failure in industrial machinery. 
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Choose the Best Vibration Sensor for Wind Turbine Condition Monitoring
Maintaining systems to detect early errors based on vibrations can prevent the costly downtime of a complete wind turbine.
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How to Build a MEMS-Based Solution for Vibration Detection in Condition Monitoring 
Condition monitoring is one of today’s core challenges in the use of mechanical facilities and technical systems to minimize the risk of production downtime not only in the industrial sector but wherever machines are used. In this article, a highly linear, low noise, wideband vibration measurement solution based on the ADXL1002 MEMS accelerometer is shown. This solution can be used for bearing analysis or engine monitoring and for all applications in which a large dynamic range of up to ±50g and a frequency response from DC to 11kHz are required.
Learn More

MEMS Accelerometers - A Designer’s Best Choice for Condition Based Monitoring
This article discusses the most important criteria to be considered when using MEMS accelerometers in CbM systems and how they can offer a viable alternative to piezoelectric accelerometers.

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Designing a 10BASE-T1L Single-Pair Ethernet Condition Monitoring Vibration Sensor
This article discusses how to design a tiny, shared power and data interface (PoDL) for a CbM sensor including power supply design, mechanical design, MEMS sensor selection, and software for a complete sensor solution.
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Functional Block Diagram

Block Diagram - Analog Devices Inc. ADXL100x MEMS Accelerometers


Published: 2017-06-06 | Updated: 2023-01-16