Expert input: Sensor solutions for harsh environmental conditions, Dr. Samuel Huber – OST

Sensors are not only exposed to their primary measurand but also to harsh environmental conditions and interferences, including temperature changes, mechanical stresses, stray fields, humidity or external forces. Unfortunately, sensors are not independent of these interferences. Samuel Huber uses examples to show how these undesirable parasitic effects can be eliminated or compensated for.

Practical input: Bayesian sensor calibration, Moritz Berger – Sensirion

The calibration of sensor systems can be a complex and costly task. On the one hand, non-linearities, noise and cross-sensitivities have to be taken into account and, on the other hand, only a few measuring points are available in volume production for reasons of time and cost. Moritz Berger shows how an optimal calibration can be achieved with the use of statistical methods despite a minimum number of measurements.