📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS (2013)

First Author: Chen B

Attributed to: SUPERGEN WIND ENERGY TECHNOLOGIES-CORE, Towards the Offshore Wind Power Station funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.eswa.2013.06.018

Publication URI: http://dx.doi.org/10.1016/j.eswa.2013.06.018

Type: Journal Article/Review

Parent Publication: Expert Systems with Applications

Issue: 17