Real time condition monitoring system for industrial motors

S. S. Goundar; M. R. Pillai; K. A. Mamun; F. R. Islam; R. Deo

doi:10.1109/APWCCSE.2015.7476232

Real time condition monitoring system for industrial motors

S. S. Goundar, M. R. Pillai, K. A. Mamun, F. R. Islam, R. Deo

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

18 Citations (Scopus)

Abstract

In generally, predictive maintenance of induction motors is well suited for small to larger scale industries in order to reduce downtime, increase efficiency and reliability. In this paper, the vibration and temperature of the induction motor is analyzed in order to gather specific information that can predict motor's bearing failure. Well analyzed vibration signal easily shows the difference between the running operation of the healthy and faulty motor. Using IoT, this paper shows Real Time Condition Monitoring System for Industrial Motors.

Original language	English
Title of host publication	2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781509007134
DOIs	https://doi.org/10.1109/APWCCSE.2015.7476232
Publication status	Published - 20 May 2016
Externally published	Yes
Event	Asia-Pacific World Congress on Computer Science and Engineering 2015 - Denarau Island, Fiji Duration: 4 Dec 2015 → 6 Dec 2015 Conference number: 2nd http://ilab-australia.org/apwconcse2016/

Publication series

Name	2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015

Conference

Conference	Asia-Pacific World Congress on Computer Science and Engineering 2015
Abbreviated title	APWC on CSE 2015
Country/Territory	Fiji
City	Denarau Island
Period	4/12/15 → 6/12/15
Internet address	http://ilab-australia.org/apwconcse2016/

Keywords

Induction Motor
Internet of Things
Vibration Analysis

Access to Document

10.1109/APWCCSE.2015.7476232

Cite this

Goundar, S. S., Pillai, M. R., Mamun, K. A., Islam, F. R., & Deo, R. (2016). Real time condition monitoring system for industrial motors. In 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015 [7476232] (2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/APWCCSE.2015.7476232

@inproceedings{836cf2abb484419f8ad734efbf43fa0c,

title = "Real time condition monitoring system for industrial motors",

abstract = "In generally, predictive maintenance of induction motors is well suited for small to larger scale industries in order to reduce downtime, increase efficiency and reliability. In this paper, the vibration and temperature of the induction motor is analyzed in order to gather specific information that can predict motor's bearing failure. Well analyzed vibration signal easily shows the difference between the running operation of the healthy and faulty motor. Using IoT, this paper shows Real Time Condition Monitoring System for Industrial Motors.",

keywords = "Induction Motor, Internet of Things, Vibration Analysis",

author = "Goundar, {S. S.} and Pillai, {M. R.} and Mamun, {K. A.} and Islam, {F. R.} and R. Deo",

year = "2016",

month = may,

day = "20",

doi = "10.1109/APWCCSE.2015.7476232",

language = "English",

series = "2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

booktitle = "2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015",

address = "United States of America",

note = "Asia-Pacific World Congress on Computer Science and Engineering 2015, APWC on CSE 2015 ; Conference date: 04-12-2015 Through 06-12-2015",

url = "http://ilab-australia.org/apwconcse2016/",

}

Goundar, SS, Pillai, MR, Mamun, KA, Islam, FR & Deo, R 2016, Real time condition monitoring system for industrial motors. in 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015., 7476232, 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015, IEEE, Institute of Electrical and Electronics Engineers, Asia-Pacific World Congress on Computer Science and Engineering 2015, Denarau Island, Fiji, 4/12/15. https://doi.org/10.1109/APWCCSE.2015.7476232

Real time condition monitoring system for industrial motors. / Goundar, S. S.; Pillai, M. R.; Mamun, K. A. et al.

2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015. IEEE, Institute of Electrical and Electronics Engineers, 2016. 7476232 (2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Real time condition monitoring system for industrial motors

AU - Goundar, S. S.

AU - Pillai, M. R.

AU - Mamun, K. A.

AU - Islam, F. R.

AU - Deo, R.

N1 - Conference code: 2nd

PY - 2016/5/20

Y1 - 2016/5/20

N2 - In generally, predictive maintenance of induction motors is well suited for small to larger scale industries in order to reduce downtime, increase efficiency and reliability. In this paper, the vibration and temperature of the induction motor is analyzed in order to gather specific information that can predict motor's bearing failure. Well analyzed vibration signal easily shows the difference between the running operation of the healthy and faulty motor. Using IoT, this paper shows Real Time Condition Monitoring System for Industrial Motors.

AB - In generally, predictive maintenance of induction motors is well suited for small to larger scale industries in order to reduce downtime, increase efficiency and reliability. In this paper, the vibration and temperature of the induction motor is analyzed in order to gather specific information that can predict motor's bearing failure. Well analyzed vibration signal easily shows the difference between the running operation of the healthy and faulty motor. Using IoT, this paper shows Real Time Condition Monitoring System for Industrial Motors.

KW - Induction Motor

KW - Internet of Things

KW - Vibration Analysis

UR - http://www.scopus.com/inward/record.url?scp=84973926559&partnerID=8YFLogxK

U2 - 10.1109/APWCCSE.2015.7476232

DO - 10.1109/APWCCSE.2015.7476232

M3 - Conference Paper

AN - SCOPUS:84973926559

T3 - 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015

BT - 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - Asia-Pacific World Congress on Computer Science and Engineering 2015

Y2 - 4 December 2015 through 6 December 2015

ER -

Goundar SS, Pillai MR, Mamun KA, Islam FR, Deo R. Real time condition monitoring system for industrial motors. In 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015. IEEE, Institute of Electrical and Electronics Engineers. 2016. 7476232. (2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015). https://doi.org/10.1109/APWCCSE.2015.7476232

Real time condition monitoring system for industrial motors

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Keywords

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