Abstract
Introducing software control and automation in Electromagnetic Interference (EMI) testing can bring numerous benefits such as less testing cycle time and lower possibility of error caused by human, etc. With the development of the industrial automation, automated EMI testing has become a popular demand in the EMI field. However, compared with a traditional manual approach which can easily change the Resolution Bandwidth (RBW) of the spectrometer by a human operator when the testing is faced with a different situation, a software-driven, automated approach is relative lack of an intelligent adaptive method for frequency division. In this paper, we propose an algorithm that can easily fill the requirements mentioned above by parameterized some key value of spectrometers and related standards. After that, a comparative test was realized to verify the algorithm proposed could easily meet the actual requirement of frequency division in EMI automated test.
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Wu, S., Hu, W., Zhang, F. (2021). A Study of Algorithms for Controlling the Precision of Bandwidth in EMI Pre-testing. In: Huang, DS., Jo, KH., Li, J., Gribova, V., Hussain, A. (eds) Intelligent Computing Theories and Application. ICIC 2021. Lecture Notes in Computer Science(), vol 12837. Springer, Cham. https://doi.org/10.1007/978-3-030-84529-2_12
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DOI: https://doi.org/10.1007/978-3-030-84529-2_12
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