This paper analyses the effect of variability of metrological characteristics of a set of low-cost MEMS accelerometers on the calculation of typical features used in condition monitoring of automatic production lines. The knowledge of the contribution of the variability of sensor metrological characteristics to the final accuracy of features is expected to be interesting when networks of low-cost sensors are used or in cases the spread of their characteristics is high, due to a mass production without single calibration. The real variability of the sensor's characteristics has been experimentally evaluated according to a calibration of a set of 25 low-cost MEMS, carried out sensor by sensor. Digital sensitivity, signal-to-noise ratio and data rate variability of each sensor have been considered for analysis. Experimental data from an industrial test case has been processed comparing real data, by a high performance piezoelectric accelerometer, and modified ones, taking into account the variability of the above characteristics of MEMS. The results show which features are more affected and which characteristics of MEMS are more influencing the features themselves.
|Titolo:||Network of MEMS sensors for condition monitoring of industrial systems: Accuracy assessment of features used for diagnosis|
|Data di pubblicazione:||2020|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|