IIS3DWB10IS: advanced vibration sensor for next-gen predictive maintenance

Turn vibration data into faster, smarter maintenance decisions

In smart manufacturing and industrial Internet of Things (IoT), real-time, high-fidelity vibration monitoring is essential for predictive maintenance and operational efficiency. New MEMS vibration sensing technologies now deliver piezoelectric-like performance with ultrawide bandwidth, high dynamic range, and ultralow noise. These technologies also add digital edge-computing capabilities for simpler and more cost-effective designs. ST’s IIS3DWB10IS combines high-precision sensing with ISPU 2.0 and hardware accelerators, enabling real-time AI processing and advanced analytics directly at the edge. This capability allows customers to make faster decisions, reduce system complexity, and lower maintenance costs.

iis3dwb10is

High-performance sensor with in-sensor AI capability

High-performance sensor with in-sensor AI capability

The IIS3DWB10IS captures vibration data with high clarity, enabling earlier detection of issues and faster decision-making. Its ultrawide bandwidth and high-resolution sensing support reliable monitoring of a wide range of machine behaviors, while ISPU 2.0 brings real-time edge processing directly on the device.

Key applications

IIS3DWB10IS

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Compare the IIS3DWB10IS with other vibration sensors

 

IIS3DWB10IS

Competitor MEMS / Piezo

Sensing

  • 3-axis
  • Digital-output
  • With bandwidth >> 10 kHz and flat frequency response
  • Ultra low noise (<50µg/√Hz )
  • High dynamic range (full scale up to 200g)
  • 1-axis
  • Analog output
  • Not flat frequency response
  • Typically, lower dynamic range

Edge processing

Embedded ISPU 2.0 for real time calculation of complex features or AI algorithms and to adapt sensor configuration to the exact context

No embedded features nor processing

Integration, ease of use, cost effectiveness

  • Cost & BOM reduction: monolithic 3-axis digital sensor with ISPU eliminates external components, lowering BOM and system costs.
  • Simplified design: integrated processing and a compact 4.5 x 4.5 mm² package streamline electrical and mechanical design
  • System complexity: it requires external conditioning, digital conversion, and calibration, increasing cost
  • Design rigidity: single-axis sensing and lack of embedded processing hinder integration and flexible partitioning

Software libraries​

Libraries for key features in vibration monitoring: fast Fourier transform (FFT), filtering, envelope detection, velocity severity, anomaly detection​

n/a (there is no embedded processing) 

Power consumption

Intrinsically low-power sensor, enabled by ISPU. It provides flexibility and low-power operation at system level

It requires external conversion, increasing power consumption. Microcontroller-led processing limits system-level optimization

Reliable operation

Reliable operation in a wide temperature range up to 125°C and under stressful mechanical conditions

Operation often limited to 85°C. High sensitivity to temperature variations and mechanical shocks

man-coding

Explore ISPU examples and tutorials to get started faster

Explore ISPU examples and tutorials to get started faster

Visit the ST GitHub repository to find templates, tutorials, example projects, libraries, and prebuilt files for ISPU programming.