Automatic Continuity Test Machine (CT) Using Proximity Sensors, Photoelectric Sensors and Programmable Logic Controllers (PLC) Systems: The case at PT. “V” Batam Indonesia
Continuity test Machine (CT) is a tool for detecting damage to the current connection on the AC plug cable. The problem with PT “V” is that it still uses a manual system. So that it is updated to an automatic continuity test machine by manual measurement using a "caliper" and another using an automatic continuity test machine (CT). The results obtained (CT) using a proximity sensor, photoelectric as a detector for the length of the pin connector and a Programmable Logic Control (PLC) system as a controller. Testing the accuracy of the tool using 12 plug and connector samples were the same, namely 10 plug and connector samples that were standard (19.05 +_0.2 mm) and 2 samples that were not standard. Tool performance testing is carried out operating for 184 hours or 23 working days. The results of data analysis found a significant increase, namely an average of 25.94% of the total test results used by the manual Continuity test machine (CT). Totally capable of increasing an average of 970 product units per month, with details reducing by -20.03% good products, increasing by 26.74% good products (standard)
C. Wang, Z. Bi, dan L. Da Xu, “IoT and cloud computing in automation of assembly modeling systems,” IEEE Trans. Ind. Informatics, vol. 10, no. 2, hal. 1426–1434, 2014, doi: 10.1109/TII.2014.2300346.
F. Authors, “IoT-based system for communication and coordination of football robot team Article information : To cite this document : Users who downloaded this article also downloaded : About Emerald www.emeraldinsight.com,” 2017.
Z. Bi, C. Pomalaza-Ráez, Z. Singh, A. Nicolette-Baker, B. Pettit, dan C. Heckley, “Reconfiguring machines to achieve system adaptability and sustainability: A practical case study,” Proc. Inst. Mech. Eng. Part B J. Eng. Manuf., vol. 228, no. 12, hal. 1676–1688, 2014, doi: 10.1177/0954405413519788.
S. Apts, “Micro hardness testing machines,” no. 2, hal. 4–5.
Z. Bi et al., “Automation of electrical cable harnesses testing,” Robotics, vol. 7, no. 1, hal. 1–13, 2017, doi: 10.3390/robotics7010001.
R. Yao, X. Zhao, L. Jiang, J. Gao, R. Hu, dan Q. Zhong, “Simulation Study on Plugged Joint for 10kV Cable,” Annu. Rep. - Conf. Electr. Insul. Dielectr. Phenomena, CEIDP, vol. 2019-Octob, hal. 532–535, 2019, doi: 10.1109/CEIDP47102.2019.9009855.
J. M. Daly, “IEEE 1202 flame testing of cables for use in cable tray,” IEEE Conf. Rec. Annu. Pulp Pap. Ind. Tech. Conf., hal. 100–104, 1991, doi: 10.1109/papcon.1991.239659.
H. Kesim, “Automated continuity testing of flexible backplanes using a cable tester,” AUTOTESTCON (Proceedings), vol. 2015-Decem, hal. 269–272, 2015, doi: 10.1109/AUTEST.2015.7356501.
I. A. Metwally, “High-voltage power cables plug into the future,” IEEE Potentials, vol. 27, no. 1, hal. 18–25, 2008, doi: 10.1109/MPOT.2007.911253.
B. Arto, B. Winarno, dan N. A. Hidayatullah, “Rancang Bangun Smart Plug Untuk Sistem Monitoring Dan Proteksi Hubungsingkat Listrik,” J. ELTIKOM, vol. 3, no. 2, hal. 77–84, 2019, doi: 10.31961/eltikom.v3i2.123.
N. M. Thamrin dan M. M. Ismail, “Development of virtual machine for Programmable Logic Controller (PLC) by using STEPSTM programming method,” Proc. - 2011 IEEE Int. Conf. Syst. Eng. Technol. ICSET 2011, hal. 138–142, 2011, doi: 10.1109/ICSEngT.2011.5993437.
J. S. Norbakyah dan A. R. Salisa, “Optimization of the fuel economy and emissions for plug in hybrid electric recreational boat energy management strategy using genetic algorithm,” Int. J. Power Electron. Drive Syst., vol. 10, no. 2, hal. 792–800, 2019, doi: 10.11591/ijpeds.v10.i2.pp792-800.
Y. Zhang, J. Li, dan H. Yang, “A distributed data acquisition system with smart connector plugs powered by the Ethernet cable,” Proc. 2012 Int. Conf. Qual. Reliab. Risk, Maintenance, Saf. Eng. ICQR2MSE 2012, hal. 813–816, 2012, doi: 10.1109/ICQR2MSE.2012.6246352.
J. A. Esquivel Cardenas, J. A. Osuna Gonzalez, R. Martinez Zuniga, dan J. J. Maldonado Ortiz, “Averaging, Approximation and Control of Functional Differential Equations,” IEEE Lat. Am. Trans., vol. 14, no. 4, hal. 1594–1599, 2016, doi: 10.1109/TLA.2016.7483488.
R. Pal dan M. U. Caglar, “Control of stochastic master equation models of genetic regulatory networks by approximating their average behavior,” 2010 IEEE Int. Work. Genomic Signal Process. Stat. GENSIPS 2010, hal. 4–7, 2010, doi: 10.1109/GENSIPS.2010.5719681.