TE Connectivity develops wide bandwidth triaxial accelerometer to monitor machine health via sensors

Driven by an increase in factory automation and the Internet of Things, demand for sensors to monitor the critical health of machinery is rising. Downtime for these automated machines can be costly, making machine condition monitoring and predictive maintenance with sensors crucial to improving efficiency and equipment utilization. 

To address this need, TE Connectivity (TE) has developed the 830M1 triaxial accelerometer, which offers advanced embedded acceleration sensing for machine health monitoring where wide bandwidth, small size, low power and robust performance are essential. 

"TE continues to be at the forefront of developing sensors to capture critical performance data in machinery as factories become more autonomous," said Bjorn Ryden, director of product management at TE. "The new 830M1 triaxial accelerometer provides customers with a reliable solution for long-term, stable and accurate performance for industrial condition monitoring applications in harsh environments."

Key features of the 830M1 triaxial accelerometer include:

• Triaxial design: 830M1 has the ability to measure acceleration in three axes (X, Y, Z). With its fully hermetic LCC package, the PCB mountable sensor allows for a single package installation rather than three, reducing the envelope required and providing cost savings since there is no need for an additional sensor.

• Wide bandwidth: 830M1 offers excellent measurement bandwidth with a wide frequency response (up to 15 kHz) and is a suitable solution for both low- and high-speed rotating machinery, from imbalance to bearing defects and wear. It is available in dynamic ranges from ±25g to ±2,000g.

• Good resolution: For improved predictive maintenance, the 830M1 offers good resolution allowing earlier detection and better quality of measurement.

• Piezoelectric technology: Highly stable piezoelectric (PE) sensing crystals technology in the 830M1 offers frequency response, measurement resolution, long-term stability and minimal long-term drift.