Abstract
Clamp ammeters based on coils are restricted to the measurement of alternating currents, through the associated magnetic field. There are also commercial versions able of measuring direct currents, based on Hall effect sensors. This manuscript presents improvements of a previously presented prototype of a contactless ammeter based on commercial giant magnetoresistance magnetometers, associated with neural networks for signal processing, able to measure direct electrical currents and to infer the distance between the sensor and the electrical current conductor.
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