A Novel Diagnostic Feature for a Wind Turbine Imbalance Under Variable Speed Conditions
Dependency between the conventional imbalance diagnostic feature and the shaft rotational speed makes imbalance diagnosis challenging for variable-speed machines. This paper focuses on an investigation of this dependency and on a proposal for a novel imbalance diagnostic feature and a novel simplified version for this feature, which are independent of shaft rotational speed. An equivalent mass-spring-damper system is investigated to find a closed-form expression describing this dependency. By normalizing the conventional imbalance diagnostic feature by the obtained dependency, a diagnostic feature is proposed. By conducting comprehensive experimental trials with a wind turbine with a permissible imbalance, it is justified that the proposed simplified version of imbalance diagnostic feature is speed-invariant.
Authors
- Russell E. King (ORCID: https://orcid.org/0000-0003-4576-6600)
- Len Gelman (ORCID: https://orcid.org/0000-0001-5464-6227)
- Amir R. Askari (ORCID: https://orcid.org/0000-0002-8090-7926)
- Andrew D. Ball (ORCID: https://orcid.org/0000-0002-8593-6830)
- D.S. Hickey
Institutions
- Scottish Power (United Kingdom) (GB)
- University of Huddersfield (GB)
- Hakim Sabzevari University (IR)
Publication Details
- Journal
- Sensors
- Published
- 2024-11-02
- DOI
- https://doi.org/10.3390/s24217073
- Citations
- 2
- Primary Topic
- Machine Fault Diagnosis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.66