ePrints

Wind Turbine Blade Bearing Fault Detection and Diagnosis Using Vibration and Acoustic Emission Signal Analysis [PhD thesis]

Lookup NU author(s): Dr Zepeng LiuORCiD

Downloads

Full text is not currently available for this publication.

Publication metadata

Author(s): Liu Z

Publication type: Authored Book

Publication status: Published

Year: 2021

Number of Pages: 185

Print publication date: 01/08/2021

Acceptance date: 01/01/2022

Publisher: Faculty of Science and Engineering, University of Manchester

Place Published: Manchester

URL: https://research.manchester.ac.uk/en/studentTheses/wind-turbine-blade-bearing-fault-detection-and-diagnosis-using-vi

Notes: https://www.proquest.com/docview/2723858679

Share