The planar nature of microwave sensors leaves them vulnerable to ambient temperature
changes with potential impact on the perception of the material under test. A temperature …

This paper introduces a new condition monitoring approach for extracting fault signatures in
wind turbine blades by utilizing the data from a real-time Supervisory Control and Data …

In this study, a loss-compensated microwave (MW) planar sensor is used to characterize
fluids at~ 1 GHz. The environmental temperature is shown to adversely impact the recorded …

This research reports on the software configuration of automated fault detection and
recognition using neural networks (ANNs) in a class of 13.6 cross actuators. According to the …

Automotive engine functions are entirely dependent on installed sensors performance. Any
malfunction in the sensors can lead to degraded engine efficiency. This manuscript presents …

A novel artificial neural network (NN)-based technique is proposed for enabling smart
sensors to operate in harsh environments. The NN-based sensor model automatically …

This paper represents the study of the effect of temperature on different capacitive humidity
sensors used in practice. Capacitance of the humidity sensor, which is a function of …

Intelligent signal processing techniques are required for auto-calibration of sensors, and to
take care of nonlinearity compensation and mitigation of the undesirable effects of …

In this paper, the software implementation of artificial neural networks (ANN s) based
automatic faults detection and identification in a class of Wheatstone bridge-based …

In this paper a planar microwave sensor is used for contactless material characterization at~
2.7 GHz. The extraneous impact of temperature is shown to cause interleaved data …