Equipment Working State Recognition Based on Broadband Spectral Features in Electromagnetic Noise Environment

In the electromagnetic compatibility experiments and troubleshooting experiments, there are not only the electromagnetic signals emitted by the equipment under test (EUT) that need to be identified, but also a large number of electromagnetic signals emitted by other equipment in the tested electromagnetic environment, which poses a huge challenge to identify the working state of the EUTs. Inspired by basic emission waveform theory (BEWT), this paper extracts spectral features from the unintentional emission of the EUT when it worked alone, and then determines the working state of the EUT that we focus on by comparing similarity of the spectral features of the electromagnetic environment tested of the environment and EUT. The experiments show the effectiveness of the method. The correct rate of judging the working state of the equipment is 96.7%.