@article{(Open Science Index):https://publications.waset.org/pdf/10010897,
	  title     = {Design and Development of iLON Smart Server Based Remote Monitoring System for Induction Motors},
	  author    = {G. S. Ayyappan and  M. Raja Raghavan and  R. Poonthalir and  Kota Srinivas and  B. Ramesh Babu },
	  country	= {},
	  institution	= {},
	  abstract     = {Electrical energy demand in the World and particularly in India, is increasing drastically more than its production over a period of time. In order to reduce the demand-supply gap, conserving energy becomes mandatory. Induction motors are the main driving force in the industries and contributes to about half of the total plant energy consumption. By effective monitoring and control of induction motors, huge electricity can be saved. This paper deals about the design and development of such a system, which employs iLON Smart Server and motor performance monitoring nodes. These nodes will monitor the performance of induction motors on-line, on-site and in-situ in the industries. The node monitors the performance of motors by simply measuring the electrical power input and motor shaft speed; coupled to genetic algorithm to estimate motor efficiency. The nodes are connected to the iLON Server through RS485 network. The web server collects the motor performance data from nodes, displays online, logs periodically, analyzes, alerts, and generates reports. The system could be effectively used to operate the motor around its Best Operating Point (BOP) as well as to perform the Life Cycle Assessment of Induction motors used in the industries in continuous operation.
	    journal   = {International Journal of Electrical and Information Engineering},
	  volume    = {13},
	  number    = {11},
	  year      = {2019},
	  pages     = {710 - 720},
	  ee        = {https://publications.waset.org/pdf/10010897},
	  url   	= {https://publications.waset.org/vol/155},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 155, 2019},