Virtual Instrument of Harmonics Detection Based on Neural Network Adaptive Filters

Xianfeng Zheng, Zheng Fan


This study investigated the adaptive detection principle based on a single artificial neuron, and constructed a method for detecting harmonics using the artificial neural network technique. Based on the established method, and by comprehensively processing the obtained harmonics data using the LabVIEW software-developing environment of the virtual instrument, the harmonic waves were detected and analyzed. Finally, the analysis of current ball crusher harmonics verified that the designed system was effective.

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TELKOMNIKA Telecommunication, Computing, Electronics and Control
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