Research on the on-off test circuit equipment of electric connector cable assembly

Haotian Lu; Yang Li; Jun Liu

doi:10.1117/12.2670406

1 June 2023 Research on the on-off test circuit equipment of electric connector cable assembly

Haotian Lu, Yang Li, Jun Liu

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126250Q (2023) https://doi.org/10.1117/12.2670406
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

Because the cable network has the characteristics of large scale, complex structure, multiple types and different connection forms, so the electrical performance test of the actual cable network components is a very demanding work. Nowadays, automated test equipment can only be used to judge the reasonable range of test values and programmed values of electrical performance, and with the continuous improvement of cable production technology, electrical performance test data of various types of cables at different stages have differences, and the actual management is not standardized. Therefore, how to develop cable electrical performance analysis software based on cable network automation test equipment according to the needs of enterprises is the focus of cable component application management. Based on the analysis software of electrical performance of automatic cable, this paper explores the application value of this system design in depth according to the current application of circuit equipment of on-off test of electrical connector cable assembly. The final results show that the system equipment researched and designed in this paper can not only realize automatic data import and intelligent query, but also help power enterprises to grasp the potential quality problems faster and understand the performance change rule of cable components.

Citation Download Citation

Haotian Lu, Yang Li, and Jun Liu "Research on the on-off test circuit equipment of electric connector cable assembly", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126250Q (1 June 2023); https://doi.org/10.1117/12.2670406

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