Fault Detection and Protection Development while Motor Working with Platform of NETPIE

Main Article Content

Kittiphumi Rueangrit
Nattavut Chayavanich
Cherdchai Prapanavarat
Ekkachai Mujjalinvimut

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.

Article Details

How to Cite
Rueangrit, K. ., Chayavanich, N. ., Prapanavarat, C. ., & Mujjalinvimut, E. . (2020). Fault Detection and Protection Development while Motor Working with Platform of NETPIE. SAU JOURNAL OF SCIENCE & TECHNOLOGY, 6(1), 1–21. Retrieved from https://ph01.tci-thaijo.org/index.php/saujournalst/article/view/222841
Section
Research Article

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