Analysis reveals key benefits of automatic test equipment and machine learning for appliance control board testing, highlighting improvements in performance and reliability.
This article introduces the composition and working principle of home appliance control board automation testing equipment, elaborates on the importance of key technical indicators, explains the integrated design of functional modules, signal processing modules, and data analysis modules, and covers aspects such as the application of machine learning algorithms and the establishment of fault waveform databases. Finally, it looks forward to the development of intelligent testing systems and emphasizes the importance of building a standardized testing system.
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Wei Huang (2025) studied this question.
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