Remote Health Monitoring of Wind Turbines Employing Vibroacoustic Transducers and Autoencoders

Andrzej Czyżewski

doi:10.3389/fenrg.2022.858958

Remote Health Monitoring of Wind Turbines Employing Vibroacoustic Transducers and Autoencoders

Abstract

Implementation of remote monitoring technology for real wind turbine structures designed to detect potential sources of failure is described. An innovative multi-axis contactless acoustic sensor measuring acoustic intensity as well as previously known accelerometers were used for this purpose. Signal processing methods were proposed, including feature extraction and data analysis. Two strategies were examined: Mel Frequency Cepstral Coefficients pruned with principal component analysis and autoencoder-based feature extraction. The scientific experiment resulted in data gathering and analysis to predict potential wind turbine mechanism failures.

Citations

3

CrossRef
0

Web of Science
3

Scopus

Author (1)

Andrzej Czyżewski prof. dr hab. inż.

Cite as

Full text

download paper

downloaded 124 times

Publication version: Accepted or Published Version
DOI:: Digital Object Identifier (open in new tab) 10.3389/fenrg.2022.858958
License: open in new tab

full content of the article see on external site open in new tab

Keywords

Details

Category:

Articles

Type:

artykuły w czasopismach

Published in:

Frontiers in Energy Research no. 10,
ISSN: 2296-598X

Language:

English

Publication year:

2022

Bibliographic description:

Czyżewski A.: Remote Health Monitoring of Wind Turbines Employing Vibroacoustic Transducers and Autoencoders// Frontiers in Energy Research -Vol. 10, (2022), s.858958-

DOI: