Vibration based condition Monitoring of rotating machinery using fuzzy logic

Tawanda Mushiri; Charles Mbohwa

Vibration based condition Monitoring of rotating machinery using fuzzy logic

Tawanda Mushiri
, Charles Mbohwa

Quality and Operations Management

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Monitoring machinery with an eye or sound is a thing of the past, with the emergency of Next Generation Manufacturing Systems (NGMS) like fuzzy logic is making life easier in automation. By the second if a fault occurs on machinery it can be noticed there and there and rectified. In this case the rotation of machinery in vibrations was explained and done using fuzzy logic.

Original language	English
Title of host publication	WCECS 2016 - World Congress on Engineering and Computer Science 2016
Editors	Warren S. Grundfest, Craig Douglas, S. I. Ao
Publisher	Newswood Limited
Pages	1018-1022
Number of pages	5
ISBN (Electronic)	9789881404824
Publication status	Published - 2016
Event	2016 World Congress on Engineering and Computer Science, WCECS 2016 - San Francisco, United States Duration: 19 Oct 2016 → 21 Oct 2016

Publication series

Name	Lecture Notes in Engineering and Computer Science
Volume	2226
ISSN (Print)	2078-0958

Conference

Conference	2016 World Congress on Engineering and Computer Science, WCECS 2016
Country/Territory	United States
City	San Francisco
Period	19/10/16 → 21/10/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Condition monitoring
Fuzzy logic
Machinery
Vibration

ASJC Scopus subject areas

Computer Science (miscellaneous)

Cite this

@inproceedings{48362cc47669471a8078f5e012ee1291,

title = "Vibration based condition Monitoring of rotating machinery using fuzzy logic",

abstract = "Monitoring machinery with an eye or sound is a thing of the past, with the emergency of Next Generation Manufacturing Systems (NGMS) like fuzzy logic is making life easier in automation. By the second if a fault occurs on machinery it can be noticed there and there and rectified. In this case the rotation of machinery in vibrations was explained and done using fuzzy logic.",

keywords = "Condition monitoring, Fuzzy logic, Machinery, Vibration",

author = "Tawanda Mushiri and Charles Mbohwa",

year = "2016",

language = "English",

series = "Lecture Notes in Engineering and Computer Science",

publisher = "Newswood Limited",

pages = "1018--1022",

editor = "Grundfest, \{Warren S.\} and Craig Douglas and Ao, \{S. I.\}",

booktitle = "WCECS 2016 - World Congress on Engineering and Computer Science 2016",

note = "2016 World Congress on Engineering and Computer Science, WCECS 2016 ; Conference date: 19-10-2016 Through 21-10-2016",

}

Mushiri, T & Mbohwa, C 2016, Vibration based condition Monitoring of rotating machinery using fuzzy logic. in WS Grundfest, C Douglas & SI Ao (eds), WCECS 2016 - World Congress on Engineering and Computer Science 2016. Lecture Notes in Engineering and Computer Science, vol. 2226, Newswood Limited, pp. 1018-1022, 2016 World Congress on Engineering and Computer Science, WCECS 2016, San Francisco, United States, 19/10/16.

Vibration based condition Monitoring of rotating machinery using fuzzy logic. / Mushiri, Tawanda; Mbohwa, Charles.
WCECS 2016 - World Congress on Engineering and Computer Science 2016. ed. / Warren S. Grundfest; Craig Douglas; S. I. Ao. Newswood Limited, 2016. p. 1018-1022 (Lecture Notes in Engineering and Computer Science; Vol. 2226).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Vibration based condition Monitoring of rotating machinery using fuzzy logic

AU - Mushiri, Tawanda

AU - Mbohwa, Charles

PY - 2016

Y1 - 2016

N2 - Monitoring machinery with an eye or sound is a thing of the past, with the emergency of Next Generation Manufacturing Systems (NGMS) like fuzzy logic is making life easier in automation. By the second if a fault occurs on machinery it can be noticed there and there and rectified. In this case the rotation of machinery in vibrations was explained and done using fuzzy logic.

AB - Monitoring machinery with an eye or sound is a thing of the past, with the emergency of Next Generation Manufacturing Systems (NGMS) like fuzzy logic is making life easier in automation. By the second if a fault occurs on machinery it can be noticed there and there and rectified. In this case the rotation of machinery in vibrations was explained and done using fuzzy logic.

KW - Condition monitoring

KW - Fuzzy logic

KW - Machinery

KW - Vibration

UR - https://www.scopus.com/pages/publications/85013483841

M3 - Conference contribution

AN - SCOPUS:85013483841

T3 - Lecture Notes in Engineering and Computer Science

SP - 1018

EP - 1022

BT - WCECS 2016 - World Congress on Engineering and Computer Science 2016

A2 - Grundfest, Warren S.

A2 - Douglas, Craig

A2 - Ao, S. I.

PB - Newswood Limited

T2 - 2016 World Congress on Engineering and Computer Science, WCECS 2016

Y2 - 19 October 2016 through 21 October 2016

ER -

Vibration based condition Monitoring of rotating machinery using fuzzy logic

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this