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Condition Monitoring of an Induction Motor Stator Windings Via Global Optimization Based on the Hyperbolic Cross Points
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Condition Monitoring of an Induction Motor Stator Windings Via Global Optimization Based on the Hyperbolic Cross Points

Category : Embedded


Sub Category : Automobile Industries


Project Code : ITEEE05


Project Abstract

Introduction:

In this paper, a wireless monitoring system forthree phase induction motor is realized using Zigbeeprotocol, where wired communication is either moreexpensive or impossible due to physical conditions andhuman hazards for safe and economic datacommunication in industrial fields. A low cost systemfor measuring the parameters of induction motor suchas phase voltages, phase currents, active power, reactivepower, motor temperature with Zigbee protocolconnectivity is described in this paper. Moreover, adatabase is built to execute online monitoring and tosave the motor parameters received by radio frequency(RF) data acquisition system. The aim of this paper is tomonitor and acquire the remote electrical parameterslike Voltages, Currents, Powers, Temperature, and sendthese real values over wireless network. To implementthis, a Zigbee model is connected to a programmeddigital signal controller which would transmit the datato Zigbee coordinator which is connected to a PCthrough RS232 serial communication. Experimentalresults show that the proposed system is less costly, provides higher accuracy as well as safe and gives visualenvironment.

 

 

 

 

 

 

 

 

 

Existing system

Proposed  system

Ø  Motor parameters are analyses by appointing special individualator.

Ø  Need to do some calculation.

Ø  RS232 communication only available

 

Drawbacks existing system:

Ø  Chances for human error while reading.

Ø  Only devices are available with wired communication

Ø The devices are enabled by wireless communication (Zigbee).

Ø Motor parameters are calculated by sensor networks.

Ø  Driver circuit is used to protect the device

Advantages proposed system:

Ø  Less no. of components only needed.

Ø  Faster and reliable in operation.

Ø  Operational cost is low.

 
 
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