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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Birmingham : B - Metallurgy and Materials

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Output 45 of 120 in the submission

Article title

Fault detection and diagnosis within a wind turbine mechanical braking system using condition monitoring

Type

D - Journal article

DOI

10.1016/j.renene.2012.04.031

Title of journal

Renewable Energy

Article number

Volume number

Issue number

First page of article

175

ISSN of journal

0960-1481

Year of publication

2012

URL

http://www.scopus.com/inward/record.url?partnerID=yv4JPVwI&eid=2-s2.0-84860996401&md5=0908f50857156ddc0ee4f8b63e8f3125

Number of additional authors

Additional information

The first paper to report the development and application of a novel system for online condition monitoring for the mechanical brake system of large-scale industrial wind turbines for diagnostic purposes. The system developed was exhibited at the European Wind Energy Association (EWEA) 2013 exhibition held in Vienna Austria, and demonstrated under actual conditions in the field during the FP7 NIMO project (GA No. FP7-ENERGY-2008-TREN-239462). Subsequently, OPTIMUS (GA No. ENER/FP7/322430/OPTIMUS), a follow-up FP7 demonstration project, was awarded to MP by the EC.

Interdisciplinary

Cross-referral requested

Research group

D - Mechanical Properties and Degradation

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract