TY - JOUR
T1 - Online detection of high-resistance connections in the incoming electrical circuit for induction motors
AU - Yun, Jangho
AU - Cho, Jintae
AU - Lee, Sang Bin
AU - Yoo, Ji Yoo
N1 - Funding Information:
Paper IPCSD-08-063, presented at the 2007 IEEE International Electric Machines and Drives Conference, Antalya, Turkey, May 3–5, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Electric Machines Committee of the IEEE Industry Applications Society. Manuscript submitted for review February 15, 2008 and released for publication July 7, 2008. Current version published March 18, 2009. This work was supported by the Ministry of Commerce, Industry, and Energy (MOCIE) through the Electrical Industry Research Center (EIRC) program with the Advanced Power Systems Research Center at Korea University and in part by a grant (07 Urban Transit Standardization A01) from “the 2nd phase of R&D on the urban transit standardization” funded by the Ministry of Construction and Transportation of the Korean government.
PY - 2009
Y1 - 2009
N2 - A high-resistance (R) connection in an induction-motor electrical circuit results in localized overheating and supply-voltage unbalance, which leads to a decreased efficiency and reliability and an increased fire hazard in the electrical distribution system and motor. Therefore, it is important to monitor and correct high-R connections for a reliable, efficient, and safe operation of the industrial facility. This paper focuses on the development of an online technique for detecting poor connections based on monitoring the asymmetry in the voltage and current measurement. The development of the technique begins with the derivation of the dynamic model of an induction motor with high-R connections. Based on the analysis of the model, two approaches for detecting poor contacts using the negative-sequence current and zero-sequence voltage are proposed. In addition to detecting the existence of faults, the location and severity of the fault can also be determined using the proposed method. An experimental study on a 10-hp induction machine under simulated and realistic high-R conditions shows that the proposed techniques provide a simple low-cost solution for reliably detecting poor contact problems at an early stage. It is also shown that the severity and location of the high-R contact fault can be assessed with high accuracy.
AB - A high-resistance (R) connection in an induction-motor electrical circuit results in localized overheating and supply-voltage unbalance, which leads to a decreased efficiency and reliability and an increased fire hazard in the electrical distribution system and motor. Therefore, it is important to monitor and correct high-R connections for a reliable, efficient, and safe operation of the industrial facility. This paper focuses on the development of an online technique for detecting poor connections based on monitoring the asymmetry in the voltage and current measurement. The development of the technique begins with the derivation of the dynamic model of an induction motor with high-R connections. Based on the analysis of the model, two approaches for detecting poor contacts using the negative-sequence current and zero-sequence voltage are proposed. In addition to detecting the existence of faults, the location and severity of the fault can also be determined using the proposed method. An experimental study on a 10-hp induction machine under simulated and realistic high-R conditions shows that the proposed techniques provide a simple low-cost solution for reliably detecting poor contact problems at an early stage. It is also shown that the severity and location of the high-R contact fault can be assessed with high accuracy.
KW - AC electric machines
KW - Condition monitoring
KW - Diagnostics
KW - Electrical distribution system
KW - High-resistance (R) connection
KW - Induction machine
KW - Symmetrical components
UR - http://www.scopus.com/inward/record.url?scp=64049103664&partnerID=8YFLogxK
U2 - 10.1109/TIA.2009.2013576
DO - 10.1109/TIA.2009.2013576
M3 - Article
AN - SCOPUS:64049103664
VL - 45
SP - 694
EP - 702
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
SN - 0093-9994
IS - 2
ER -