Sensor Node Fault Diagnosis Based Machine Monitoring Using Wireless Sensor Networks (WSN) in Industrial Automation

International Journal of Management, Technology And Engineering, Volume 8, Issue XI, NOVEMBER/2018

7 Pages Posted: 16 Jun 2019

See all articles by C. Dhandapani

C. Dhandapani

Rajagopal Polytechnic College

Date Written: November 10, 2018

Abstract

In this paper, the proposed system design using wireless sensor networks (WSN) for an effective method of industrial automation, machine condition monitoring, and fault diagnosis. Induction motors have often used the machine in industries because of various technical and productive reasons. So Induction motor is taken as a machine to be monitored for the fault diagnosis, motor stator current signals are observed using fuzzy logic techniques. The motor condition is outlined using linguistic variables. The Characteristics of extraction and fault diagnosis is obtained at the sensor nodes. The result in the reduction of payload transmission compared with raw data transmission as increase the lifetime of the sensor nodes.

Keywords: Industrial Automation, Machine Condition Monitoring, Fault Diagnosis, Induction Motors; Wireless Sensor Networks (WSN)

Suggested Citation

Dhandapani, C., Sensor Node Fault Diagnosis Based Machine Monitoring Using Wireless Sensor Networks (WSN) in Industrial Automation (November 10, 2018). International Journal of Management, Technology And Engineering, Volume 8, Issue XI, NOVEMBER/2018, Available at SSRN: https://ssrn.com/abstract=3399238

C. Dhandapani (Contact Author)

Rajagopal Polytechnic College ( email )

SH59, Gandhi Nagar
Gudiyattam, TN Vellore 632602
India
04172221088 (Phone)

HOME PAGE: http://rajapoly@rpg.ac.in

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