STMicroelectronics has launched the 'IIS3DWB10IS,' an AI-embedded vibration sensor targeting industrial condition monitoring applications. With this product, ST plans to expand the application scope of MEMS-based digital sensors in the vibration analysis market, which has traditionally been dominated by piezoelectric sensors.

STMicroelectronics announced on the 8th that it has launched the IIS3DWB10IS, an intelligent vibration sensor that supports predictive maintenance and remote condition monitoring of industrial equipment. Based on ST's MEMS technology, the product incorporates the intelligent sensor processing unit ISPU 2.0.

The IIS3DWB10IS can measure vibrations and shocks of up to 200g at frequencies above 10kHz. It supports an operating temperature range of up to 125°C, making it suitable for use in industrial sites with high-temperature environments.

The key feature of the product is that it performs signal processing and AI inference internally within the sensor. Existing condition monitoring systems often analyzed data collected by sensors using separate MCUs or gateways. ST explained that by processing some operations at the sensor stage through ISPU 2.0, it can reduce latency, power consumption, and the burden of system configuration.

Piezoelectric sensors have been widely used in the field of industrial vibration analysis due to their high reliability and wide bandwidth. However, as they often require separate signal processing circuits, the potential of digital MEMS sensors is attracting attention in equipment requiring miniaturization and low-power design.

ST stated that the IIS3DWB10IS offers an alternative to piezoelectric sensors by combining a lightweight design, digital output, and AI processing capabilities. Bonfiglioli, an industrial drive system company, also explained that the sensor has replaced existing piezoelectric sensor technology based on its wide dynamic range and high-temperature operating characteristics.

Vibration analysis is used to identify early signs of abnormalities in rotating equipment such as motors, pumps, reducers, and bearings. In manufacturing sites, where equipment failures can lead to production stoppages, the demand for predictive maintenance and remote condition monitoring is expanding.

According to Fortune Business Insights, the global market for remote condition monitoring technology is projected to grow at an average annual rate of over 9%, surpassing $5 billion by 2032. ST's product can be seen as an example of the expanding trend of combining MEMS-based digital sensors with edge AI in the industrial sensor market.