Evaluation of wind turbine noise by soft computing methodologies: A comparative study

Aničić, Obrad; Petković, Dalibor; Cvetković, Slavica

doi:10.1016/j.rser.2015.12.028

Cited by 17 publications

(9 citation statements)

References 25 publications

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“…However, despite the variety of available signals, the use of vibration predominates in the wind industry, as not only is vibration produced in all the wind turbine parts (from the blades to the tower), but also, it provides early signs of failures; therefore, there is more time to plan and execute the corrective actions [46]. Support vector regression (SVR) [133] Due to the variability of the weather conditions under which wind turbines operate, the methods for transient signal analysis are the norm, especially with the use of wavelets. The study of the spectrum by the models included in Figure 8 allows detection and diagnosis of failures according to the magnitude of the components of the fundamental wave of the signal.…”

Section: Detection and Diagnosismentioning

confidence: 99%

“…In the wind industry, the SVM method is used to develop solution proposals for problems in different areas. The study [133] estimates and predicts the noise level produced by a WT as a function of wind speed via SVR. The kernel functions used were polynomials and the Radial Basis Function (RBF) since, according to the author, they are more efficient.…”

Section: Support Vector Machines (Svms)mentioning

confidence: 99%

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Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

et al. 2019

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Wind power generation has been the fastest-growing energy alternative in recent years, however, it still has to compete with cheaper fossil energy sources. This is one of the motivations to constantly improve the efficiency of wind turbines and develop new Operation and Maintenance (O&M) methodologies. The decisions regarding O&M are based on different types of models, which cover a wide range of scenarios and variables and share the same goal, which is to minimize the Cost of Energy (COE) and maximize the profitability of a wind farm (WF). In this context, this review aims to identify and classify, from a comprehensive perspective, the different types of models used at the strategic, tactical, and operational decision levels of wind turbine maintenance, emphasizing mathematical models (MatMs). The investigation allows the conclusion that even though the evolution of the models and methodologies is ongoing, decision making in all the areas of the wind industry is currently based on artificial intelligence and machine learning models.

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Section: Detection and Diagnosismentioning

confidence: 99%

Section: Support Vector Machines (Svms)mentioning

confidence: 99%

Maintenance Models Applied to Wind Turbines. A Comprehensive Overview

et al. 2019

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“…Noise produced by wind machines may excite buildings' vibration. Therefore, residents nearby wind machines may object strongly to their uses [64,65] . They are likely to be unproductive when their orientation is against the wind direction [66] .…”

Section: Selection Of Air Disturbance Frost Protection Systemmentioning

confidence: 99%

A review of air disturbance technology for plant frost protection

Asante

et al. 2018

International Journal of Agricultural and Biological Engineering

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Abstract:Confronted with severe frost damage to plants, methods, technologies and equipment have been developed and applied during the past century. The paper presents a comprehensive review on the most effective and active technology to protect plants from radiation frost based on air disturbance technology. The working principle of the technology was elaborated with frost protection mechanism, structures and applicability of three types of working patterns: conventional wind machines, selective inverted sink and portable vertical blowing. As an automatic mechanized technology, control strategy, applicable occasion and proper parameters are introduced for each type of working pattern. The operation of the technology and equipment depends on plant critical temperature, prevailing climatic conditions, thermal inversions strength, as well as costs. The frost protection performance and effectiveness of conventional horizontal wind machines, selective inverted sinks and helicopters are discussed and compared from the cost-effectiveness and application aspects, and the feasibility of selective inverted sinks is still controversial. Therefore, conventional wind machines are the best choice for plant frost protection and consequently are widely used in temperate and subtropical areas throughout the world. The frost protection application with helicopters is not easy to use during the frost nights with high cost. The paper also provides researchers with some perspectives on improving air disturbance technology and its equipment, and some practice recommendations for growers.

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“…In Poland this happens in case of badly located, older wind turbines. The very close vicinity of wind turbines as well as noise and infrasound emitted by them can lead to a combination of symptoms that start when wind turbines commence their operation [60][61][62][63][64][65]. These are sometimes described as "a wind turbine syndrome": headache, disrupted sleep pattern, vertigo and dizziness, nausea, concentration problems, irritability.…”

Section: Weaknessesmentioning

confidence: 99%

“…and is scattered over an area of a significant size. Therefore, it becomes the dominating component of the landscape of a given region [60][61][62][63][64][65].…”

Section: Weaknessesmentioning

confidence: 99%