TY - GEN
T1 - Electrical Energy Consumption Monitoring System and Motor Damage Detection on Conveyor Using Fuzzy Method
AU - Indasyah, Enny
AU - Priaji, Mochamad Hisyam
AU - Prayitno, Slamet Budi
AU - Istiqomah, Fivitria
AU - Adhim, Fauzi Imaduddin
AU - Kindhi, Berlian Al
AU - Rahayu, Lucky Putri
AU - Priambodo, Joko
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Data storage and data retrieval in some industries are still done manually by employees. This is a common problem in the industry because the information or data presented is not real-time and also inefficient. Vibration data collection and motor conditions are still done manually by going down to the field by checking many motors in the production area. On the other hand, electricity consumption is vital in large-scale industries, because in it there are many machines that require large electrical power. This will be a problem if the electricity consumption is not efficient or in line with what is expected by the industry itself. Based on these problems, a motor damage detection system was made using the Fuzzy method and data collection of current, voltage, and temperature and vibration which will be processed in the form of a website dashboard. Test loosening and removing bolts on motor foundation. The results obtained are the Fuzzy method of detecting damage by producing five warnings when the bolt is removed by experimenting three times at a frequency of 10 Hz, 20 Hz, 30 Hz, 40 Hz, 50 Hz. In this system there is a delay of one to two seconds from sending data from the sensor to displaying a notification.
AB - Data storage and data retrieval in some industries are still done manually by employees. This is a common problem in the industry because the information or data presented is not real-time and also inefficient. Vibration data collection and motor conditions are still done manually by going down to the field by checking many motors in the production area. On the other hand, electricity consumption is vital in large-scale industries, because in it there are many machines that require large electrical power. This will be a problem if the electricity consumption is not efficient or in line with what is expected by the industry itself. Based on these problems, a motor damage detection system was made using the Fuzzy method and data collection of current, voltage, and temperature and vibration which will be processed in the form of a website dashboard. Test loosening and removing bolts on motor foundation. The results obtained are the Fuzzy method of detecting damage by producing five warnings when the bolt is removed by experimenting three times at a frequency of 10 Hz, 20 Hz, 30 Hz, 40 Hz, 50 Hz. In this system there is a delay of one to two seconds from sending data from the sensor to displaying a notification.
KW - Monitoring
KW - realtime
KW - vibration
UR - http://www.scopus.com/inward/record.url?scp=85135052695&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA54022.2021.9807723
DO - 10.1109/ICAMIMIA54022.2021.9807723
M3 - Conference contribution
AN - SCOPUS:85135052695
T3 - 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2021 - Proceeding
SP - 304
EP - 310
BT - 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2021 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2021
Y2 - 8 December 2021 through 9 December 2021
ER -
