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124667

Fault Diagnosis in Machining Based on Statistical Process Control.

Article

Last updated: 04 Jan 2025

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Subjects

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Tags

Mechanical Power Engineering

Abstract

In this paper, a fault diagnosis method based on statistical process control charts is proposed. The approach uses the knowledge extractions obtained from statistical process control charts and then extracts a set of minimal diagnostic rules by the experts in the field. The diagnosis performance of the proposed method is demonstrated using an experimental study. By means of the extracted knowledge, the machining process failures, and related rapid diagnosis can be identified. A practical system is presented to illustrate the efficiency and effectiveness of the proposed method. 

DOI

10.21608/bfemu.2020.124667

Keywords

Statistical Process Control, Machinability, fault diagnosis

Authors

First Name

M.

Last Name

El-Baz

MiddleName

-

Affiliation

Industrial Engineering Department., Faculty of Engineering., Zagazig University., Zagazig., Egypt.

Email

elbaza@mail2world.com

City

Zagazig

Orcid

-

Volume

35

Article Issue

1

Related Issue

17860

Issue Date

2010-03-01

Receive Date

2010-01-11

Publish Date

2020-11-21

Page Start

45

Page End

54

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 35_Issue 1_Pages 45-54.pdf

PDF . 848.8kB

Link

https://bfemu.journals.ekb.eg/article_124667.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=124667

Order

26

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Fault Diagnosis in Machining Based on Statistical Process Control.

Details

Type

Article

Created At

22 Jan 2023