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41681

Fault monitoring in complex dynamic system by utilization statistical analysis technique

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Last updated: 24 Dec 2024

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Abstract

ABSTRACT: Vibration monitoring is widely accepted defects in rotating machinery components using traditional diagnostic analysis to match spectral line with known defect frequencies that are characteristics of the affected machinery components. The present work highlights the accurate fault defect, higher order spectrum analysis (HOSA) in rotating machinery and focus on the rare failure due nonlinearity based on compound mode which cannot appear in traditional diagnostics. And compare the results of the traditional linear spectra analysis in the case of fault monitoring of experimental tests carried out on eccentric cam in a specially designed cam dynamic test fixture. The test performed on the complex system, the cam is excited by impact hammer. An accelerometer is used to measure the acceleration response for different manufacturing routes of cams. The ambient excitation and the system response are used to compute a number of quantities for the system under two operating conditions of surface finish. In particular the power spectrum density (PSD), the frequency response function (FRF), the second order coherence function and the third order system bicoherence are measured and calculated. The measurements are compared and the results are discussed. The results shows that the nonlinearity due to compound mode cannot appear in linear spectra analysis. The results shows also that the traditional linear spectra analysis is of limited value in monitoring faults. 

DOI

10.21608/amme.2006.41681

Keywords

Vibration monitoring, Feature selection of damage, Detect nonlinear behavior and high order spectrum analysis

Authors

First Name

Gomaa

Last Name

R.

MiddleName

F.

Affiliation

Assistant Professor, Department of Production Engineering and Mechanical Design, Faculty of engineering, Shebin El-Kom, Egypt.

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Volume

12

Article Issue

12th International Conference on Applied Mechanics and Mechanical Engineering.

Related Issue

6508

Issue Date

2006-05-01

Receive Date

2019-07-21

Publish Date

2006-05-01

Page Start

643

Page End

658

Print ISSN

2636-4352

Online ISSN

2636-4360

Link

https://amme.journals.ekb.eg/article_41681.html

Detail API

https://amme.journals.ekb.eg/service?article_code=41681

Order

13

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/

MainTitle

Fault monitoring in complex dynamic system by utilization statistical analysis technique

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Article

Created At

22 Jan 2023