Fault Detection and Protection Development while Motor Working with Platform of NETPIE
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Abstract
The paper presents a feasibility study of the Internet of Things applications by using a cloud server to prevent damages caused by an abnormal operation of a 3-phase induction motor. The damages that may cause from the abnormal operations of the induction motor are classified into 7 types: over voltages, under voltages, unbalanced voltages, single phasing, overloads, over winding temperature, and over vibration. The measurement sensors include 3 sets of phase voltage sensors, 3 sets of wire current sensors, 1 set of a winding temperature sensor, and 1 set of a motor vibration sensor. For a processing unit, the ESP8266 NodeMCU is connected to an MPC3008 which is to covert analog signals out of the 8-channel sensor signal processors into a 10-bit digital value. For the protection, a magnetic trip of power circuits is used for the 1 HP, 380V induction motor in three-phase Y connection. In testing procedures, the motor was connected to a Terco MV1025 torque meter via a coupling. The tests were carried out to determine the 7 types of normal and abnormal operating conditions. Apart from the protection of abnormalities, the monitoring operations were also tested by using the NETPIE FEED. The results of the tests in abnormal operations revealed that the developed protecting device performed its operations completely in all conditions, whereas it was advantageous to protect the motor damages while operating, and plan to maintain a production line for reliable production stability.
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References
Electric Power Systems and Equipment Voltage Ratings (60 Hertz), ANSI C84.1-1995
A. von Jouanne, B. Banerjee, “Assessment of Voltage Unbalance,” IEEE Transaction on Power Delivery, vol.16, no.4, pp.782-790, Oct. 2001.
P. Pillay, M. Manyage, “Loss of Life in Induction Machines Operating with Unbalanced Supplies,” IEEE Transaction on Energy Conversion, vol.21, no.4, pp.813-822, Dec. 2006.
A. Boglietti, R. Bojoi, S.Rubino, M. Cossale, “Load Capability of Multiphase Machines Under Normal and Open-Phase Fault Conditions,” IEEE Energy Conversion Congress and Exposition (ECCE), USA, 23-27Sept. 2018, pp. 242-247.
Bon-Gwan Gu, “Study of IPMSM Interturn Faults Part II: Online Fault Parameter Estimation,” IEEE Transactions on Power Electronics, vol. 31, no.10, pp.7214-7223, Oct. 2016.
E.L. Brancato “Estimation of Lifetime Expectancies of motor,” IEEE Electrical Insulation Magazine, vol. 8, no.3 pp.5-13, May-Jun. 1992.
l. Y. Onel, M. E. H. Benbouzid, “Induction Motor Bearing Failure Detection and Diagnosis: Park and Concordia Transform Approaches Comparative Study,” IEEE International Electric Machines & Drivers Conference, vol. 13, no. 2, pp.257-262, Apr. 2008.
C. Verucchi, G. Bossio, J. Bossio, G. Acosta “Fault Detection in Gear Box with Induction Motors: an Experimental Study,” IEEE Latin America Transactions, vol. 14, no. 6, pp.2726-2731, Jun. 2016.
R. Bayindir, I. Colak, I. Sefa, A. Bektas, “Fault Detection and Protection of Induction Motors Using Sensors,” IEEE Transaction on Energy Conversion, vol. 23, no.3, pp.734-741, Oct. 2008.
I. Colak, H. Celik, I. Sefa, S. Demirbas, “On Line Protection Systems for Induction Motors” Energy Conversion and Management, vol. 46, Issue 17, pp.2773-2786, Oct. 2005.
สิริวิช ทัดสวน ประสิทธิ์ สุขเสริม, “การพัฒนาการป้องกันฟอลต์และเฝ้าติดตามมอเตอร์ไฟฟ้าเหนี่ยวนำชนิด 3 เฟส ด้วยอินเทอร์เน็ตของสรรพสิ่ง”, วิศวกรรมสารเกษมบัณฑิต ปีที่ 9 ฉบับที่ 2, พฤษภาคม-สิงหาคม. 2562. 105.(in Thai).
Wikipedia “มาตรฐานการวัดค่าความสั่นสะเทือน” Available: savemotor.com/ article-th-87266-มาตรฐานการวัดค่าความสั่นสะเทือน+ISO+2372.html.