2019 IEEE International Electric Machines &Amp; Drives Conference (IEMDC) 2019
DOI: 10.1109/iemdc.2019.8785271
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Enhanced Wind Turbine Main Drivetrain Gearbox and Bearing Monitoring and Diagnostics Via Information Fusion of Acoustic, Electrical, and Vibration Signatures

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Cited by 9 publications
(3 citation statements)
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“…Hence, if it is possible and economically justified, in condition monitoring, it is recommended to use different signals at the same time, e.g., vibration, electrical and acoustic signals. More detailed information about such an approach can be found in [22,29,30].…”
mentioning
confidence: 99%
“…Hence, if it is possible and economically justified, in condition monitoring, it is recommended to use different signals at the same time, e.g., vibration, electrical and acoustic signals. More detailed information about such an approach can be found in [22,29,30].…”
mentioning
confidence: 99%
“…On the other hand, a combination of signals used in such analyses can be more beneficial for the diagnosis than when selected signals are used separately. An experimental study of the fusion of electrical, acoustic and vibration analysis is presented, among others, in [14]. In addition, the operating gears can produce disturbances in the vibroacoustic signal, e.g., because of a lower quality of their surfaces [15], while the most common failures within gear transmissions involve the teeth, which are usually damaged by fractures occurring at their base or by pitting [16].…”
mentioning
confidence: 99%
“…In (Zhou and Peng (2020)), the authors apply multi sensor fuzzy information fusion for monitoring of a chemical plant. In (He et al (2019)), new methods to monitor performance of wind turbine gearbox and bearing are presented by using Gaussian model based information fusion on acoustic, vibrational and electrical data. In (Zhang et al (2020)), an information fusion framework is proposed to fuse multiple heterogeneous data to access control room operator performance.…”
Section: Information Fusion For Performance Monitoringmentioning
confidence: 99%