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Output details

15 - General Engineering

University of Aberdeen

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Output 38 of 156 in the submission

Article title

Crack detection in a rotating shaft using artificial neural networks and PSD characterisation

Type

D - Journal article

DOI

10.1007/s11012-013-9790-z

Title of journal

Meccanica

Article number

n/a

Volume number

n/a

Issue number

n/a

First page of article

ISSN of journal

0025-6455

Year of publication

2013

URL

Number of additional authors

Additional information

An experimental study of a rotating system containing a shaft with simulated cracks. Uses an industrial scale motor/generator/shaft system with different simulated cracks. The research enables the detection of cracks using vibration data collected at sites remote from the shaft. The work is a significant step forward since previous studies have focused on measurements based near the crack position, a situation difficult to implement in reality.

Interdisciplinary

Cross-referral requested

Research group

A - Applied Dynamics

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract