Abstract
The electric control cabinet for massage armchair, as a control unit, has a crucial influence on the normal operation of massage armchair, so the manual detection of electric control cabinet should be replaced by an intelligent detection system with high efficiency to improve the reliability of detection results. By combining the characteristics of electric control cabinet and several detection methods widely used at present, this paper proposes a study on the detection system for electric control cabinet in massage armchair to meet the urgent demand of precise and efficient detection of electric control cabinets, with LabVIEW as the software foundation and ADAM data acquisition module as the hardware supports.
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This work is supported by the project under grant D.71-0109-18-167.
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Lu, L., Wang, W., Li, G., Mitrouchev, P. (2020). Study on the Detection System for Electric Control Cabinet. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation IX. IWAMA 2019. Lecture Notes in Electrical Engineering, vol 634. Springer, Singapore. https://doi.org/10.1007/978-981-15-2341-0_4
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DOI: https://doi.org/10.1007/978-981-15-2341-0_4
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