Stepwise Diagnosis for Rotating Machinery Using Force Identification Approach

Joint Authors

Kawamura, Shozo
Minamoto, Hirofumi
Niimi, Kazuhiro
Kato, Yuichi

Source

Advances in Acoustics and Vibration

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-01-16

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Physics

Abstract EN

Machine condition monitoring and diagnosis have become increasingly important, and the application of these processes has been widely investigated.

The authors previously proposed a stepwise diagnosis method for a beam structure.

In that method, the location of the abnormality is first estimated using the force identification approach, and then the cause of the abnormality is identified.

In this study, the stepwise diagnosis method was improved specifically for rotating machinery.

The applicability of the proposed method was checked by using the experimental data.

In the case of a rotor system with unbalance, it was shown that the location of the abnormality and its severity could be identified, and, in the case of a rotor system with stationary rubbing, the location of the abnormality could be accurately identified.

Therefore, it was confirmed that the proposed diagnostic method is feasible for actual application.

American Psychological Association (APA)

Kawamura, Shozo& Niimi, Kazuhiro& Kato, Yuichi& Minamoto, Hirofumi. 2012. Stepwise Diagnosis for Rotating Machinery Using Force Identification Approach. Advances in Acoustics and Vibration،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-468192

Modern Language Association (MLA)

Kawamura, Shozo…[et al.]. Stepwise Diagnosis for Rotating Machinery Using Force Identification Approach. Advances in Acoustics and Vibration No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-468192

American Medical Association (AMA)

Kawamura, Shozo& Niimi, Kazuhiro& Kato, Yuichi& Minamoto, Hirofumi. Stepwise Diagnosis for Rotating Machinery Using Force Identification Approach. Advances in Acoustics and Vibration. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-468192

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-468192