Novel Technology for Unbalance Diagnosis for Dual-Speed Wind Turbines

Unbalance diagnosis for non-constant speed systems is challenging because the 1X fundamental rotational harmonic magnitude, commonly used as an unbalance indicator, depends on shaft rotational speed. This dependency makes it difficult to separate speed effects from unbalance effects. It has been shown that 1X magnitudes become speed-invariant if they are normalized with respect to the rotational speed in power four for variable-speed wind turbines. However, the applicability of this diagnostic technology to dual-speed machines remains unclear. This study experimentally investigates unbalance diagnosis technologies for dual-speed wind turbines, for which speed-dependent interference is present. Vibration data are collected from the main bearings of two dual-speed wind turbines. Novel residual-based, speed-invariant unbalance diagnostic technology is proposed. The experimental results show consistent statistical distributions of the new diagnosis indicator across low and high-speed operating regimes. These findings confirm the suitability of the proposed technology for unbalance diagnosis for dual-speed rotating machinery.

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Journal
Sensors
Published
2026-04-07
DOI
https://doi.org/10.3390/s26072268
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
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article

Novel Technology for Unbalance Diagnosis for Dual-Speed Wind Turbines

Russell E. King, Len Gelman, Daryl Hickey, Amir R. Askari et al.
Sensors
Machine Fault Diagnosis Techniques
article

Novel Technology for Unbalance Diagnosis for Dual-Speed Wind Turbines

Russell E. King, Len Gelman, Daryl Hickey, Amir R. Askari, Mehdi Behzad
article en

Abstract

Unbalance diagnosis for non-constant speed systems is challenging because the 1X fundamental rotational harmonic magnitude, commonly used as an unbalance indicator, depends on shaft rotational speed. This dependency makes it difficult to separate speed effects from unbalance effects. It has been shown that 1X magnitudes become speed-invariant if they are normalized with respect to the rotational speed in power four for variable-speed wind turbines. However, the applicability of this diagnostic technology to dual-speed machines remains unclear. This study experimentally investigates unbalance diagnosis technologies for dual-speed wind turbines, for which speed-dependent interference is present. Vibration data are collected from the main bearings of two dual-speed wind turbines. Novel residual-based, speed-invariant unbalance diagnostic technology is proposed. The experimental results show consistent statistical distributions of the new diagnosis indicator across low and high-speed operating regimes. These findings confirm the suitability of the proposed technology for unbalance diagnosis for dual-speed rotating machinery.

SensorsVol. 26(7)
Scottish Power (United Kingdom) (GB), Sharif University of Technology (IR), University of Huddersfield (GB), Hakim Sabzevari University (IR), Berkhamsted and District Archaeological Society (GB)
Affordable and clean energy
Openalex Percentile: Top 29%
Machine Fault Diagnosis Techniques
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Novel Technology for Unbalance Diagnosis for Dual-Speed Wind Turbines — Russell E. King, Len Gelman, et al. · Sensors (2026) | TGRS Research Map | TGRS