Inductive sensor

About: Inductive sensor is a research topic. Over the lifetime, 2282 publications have been published within this topic receiving 21984 citations.

Design and signal processing of a magnetic sensor array for train wheel detection

Abstract: This paper proposes a train wheel detection system based on the use of an inductive sensor array. It allows multiple detection points and uses coded signals in order to work with low signal to noise ratios. The sensor array consists of pairs of sensor coils placed at every detection point. In this work, unlike previous work about this matter, the coils are interconnected in series as a part of a Maxwell bridge that is used to excite the coils and to receive the unbalance signal when there is a perturbation caused by the train pass over the detection point. Furthermore, the signal used is encoded with complementary sequences, allowing a single process of many detection points. Finally, the gain of the process allows placing the signal-processing module far away of the detection point, which makes it possible to work with a detector system without electronics near the railways.

Extracting dimensional information from steel reinforcing bars in concrete using neural networks trained on data from an inductive sensor

Abstract: A new method is presented for extracting dimensional information from steel bars using images generated by an inductive sensor The technique is based on the application of two feedforward backpropagation neural networks; one to estimate bar depth and the other to estimate bar diameter Both of the networks have been trained on a set of data that consists of the peak parameters of six different bars scanned at 41 different bar depths These input and target data must be pre-processed to obtain a good network generalisation By testing the two networks with a completely different set of data, accurate performance has been obtained Real, two-dimensional scan data have then been applied to both of the networks and the bar dimensional parameters have been extracted successfully The advantage of the neural network method for extracting information is that it continues to operate reliably for very deep bars, for which the signal strength is severely attenuated and manifests a poor signal-to-noise ratio Depth and diameter measurements have been obtained for bars located down to 58 mm, with errors that satisfy the requirements of the BS 1881 standard At a depth of 40 mm, these measurements yield an error of ±4%, and this decreases as the depth reduces; in other words, the extracted bar diameter is within the requirements of the DIN 488 standard

Magnetic or electrical field sensor system has modulators with non-inverting and inverting conditions providing for different sensor configurations

Abstract: The sensor system has an arrangement of individual sensors (10,11,12,13), each detecting a magnetic or electrical field for provision of corresponding electrical sensor signals fed to signal modulators with non-inverting and inverting control conditions, with the sensor signals combined to provide a system signal. An Independent claim for an operating method for a sensor system is also included.