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34974

BEARING'S EARLY FAULT DETECTION USING VIBRATION ANALYSIS

Article

Last updated: 30 Jan 2023

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Abstract

ABSTRACT
Over recent decades, predictive maintenance's usage attracted the attention of
maintenance specialists in some important industries. Moreover, machinery condition
monitoring is an effective indicator for planning the maintenance schedules. Machine
monitoring or early detection of incipient fault is an important judgment tool of the
machine's health at critical parts such as; gears and bearings. Furthermore, vibrationmonitoring
process can be achieved by experienced operators using their visual
inspection. However, many specialists in maintenance field recommend using the
computerized inspection to meet increased demand for the automated monitoring
applications and helpful engineering software.
This paper deals with condition monitoring of machines in addition to designing
machine monitoring assisting tool as software for time saving. This software is
presented as fast tool affording instantaneous calculations of bearing fault
frequencies for different bearing types. In addition, the presented software can
instantaneously calculate the basic dynamic load rating considering bearing rating
life.

DOI

10.21608/amme.2018.34974

Keywords

condition monitoring, Wavelet Analysis, Bearing Lifetime, Computer Software

Authors

First Name

M.

Last Name

Eissa

MiddleName

A.

Affiliation

Graduate student, Dept. of Production Eng. and Mechanical Design, Faculty of Eng., Menoufia Univ., Shebin El-Kom, Menoufia, Egypt.

Email

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City

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Orcid

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First Name

F.

Last Name

Gomaa

MiddleName

R.

Affiliation

Professor, Dept. of Production Eng. and Mechanical Design, Faculty of Eng., Menoufia Univ., Shebin El-Kom, Menoufia, Egypt.

Email

-

City

-

Orcid

-

First Name

K.

Last Name

Khader

MiddleName

M.

Affiliation

Associate professor, Dept. of Production Eng. and Mechanical Design, Faculty of Eng., Menoufia Univ., Shebin El-Kom, Menoufia, Egypt.

Email

-

City

-

Orcid

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Volume

18

Article Issue

18th International Conference on Applied Mechanics and Mechanical Engineering.

Related Issue

5736

Issue Date

2018-04-01

Receive Date

2019-06-16

Publish Date

2018-04-01

Page Start

1

Page End

22

Print ISSN

2636-4352

Online ISSN

2636-4360

Link

https://amme.journals.ekb.eg/article_34974.html

Detail API

https://amme.journals.ekb.eg/service?article_code=34974

Order

35

Type

Original Article

Type Code

831

Publication Type

Journal

Publication Title

The International Conference on Applied Mechanics and Mechanical Engineering

Publication Link

https://amme.journals.ekb.eg/

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Details

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Article

Created At

22 Jan 2023