Perspectives on condition monitoring techniques of wind turbines

Moeini, R.; Entezami, Mani; Ratkovac, M; Tricoli, Pietro; Hemida, Hassan; Hoeffer, R.; Baniotopoulos, Charalampos

doi:10.1177/0309524x18807028

Cited by 10 publications

(5 citation statements)

References 73 publications

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“…Since the introduction of 2 MW turbines in 2002, market demand has shown a future trend towards using larger capacity wind turbines. Compared to 750 KW machines, the operational and maintenance costs of 2 MW wind turbines can be reduced by 12% [5]. However, there remain several challenges to minimizing operational costs and maintenance as well as maximizing the productivity of this type of turbine.…”

Section: Introductionmentioning

confidence: 99%

Tacholess Time Synchronous Averaging for Gear Fault Diagnosis in Wind Turbine Gearboxes Using a Single Accelerometer

Nguyen,

Nguyen

et al. 2024

Machines

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Wind power is increasingly seen as a global, sustainable, and eco-friendly energy option. However, one significant obstacle to further wind energy investment is the high failure rate of wind turbines. The gearbox plays a pivotal role in turbine performance. In recent years, there has been a surge in the focus on gearbox fault diagnosis, reflecting its criticality and prevalence in the industry. Time synchronous averaging (TSA) is a primary technique to identify faults in wind turbine gearboxes using mechanical vibration signals. Generally, implementing TSA requires a device that is capable of recording the phase information of a rotary shaft. Nevertheless, there are situations in which the installation of such a device poses difficulties. For instance, gearboxes that are in use cannot be halted to allow for the installation of a device, and sealed gearboxes provide challenges while being inserted into the device. This research presents an innovative technical way to improve the TSA method without requiring a phase signal. The proposed method has the advantage of extracting the shaft rotation angle signal from the measured acceleration signal, even in non-stationary conditions where the rotational speed varies over time. The effectiveness of the proposed method is validated through measured datasets from wind turbine gearboxes with actual faults and a dataset from a gear system with variable rotational speeds.

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Section: Introductionmentioning

confidence: 99%

Tacholess Time Synchronous Averaging for Gear Fault Diagnosis in Wind Turbine Gearboxes Using a Single Accelerometer

Nguyen,

Nguyen

et al. 2024

Machines

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“…A WT is a complex system composed of various crucial components, including a generator, drive train, rotor, control system, sensors, tower, and blades. These components collectively determine the performance of the turbine, making it imperative to focus on them to achieve high reliability in WT operations Moeini et al (2019). While recent research has explored sensorless strategies, exemplified by works such as Aldin et al (2023), Shen et al (2009), Morfin et al (2021), and Benzaouia et al (2021), the WT industry today extensively utilizes sensors for control and monitoring purposes.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the impact of sensor precision on power output of a wind turbine: A sensitivity analysis via Monte Carlo simulation study

Sarbandi,

Khaloozadeh

2024

Wind Engineering

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Wind turbines (WTs) are complex systems with multiple interacting components, posing challenges in identifying factors affecting power output (PO). Sensors play an important role; however, sensor precision can result in measured values differing from actual values. Analyzing the impact of sensor precision on PO is essential. In this study, we employ sensitivity analysis (SA) via Monte Carlo (MC) simulation, offering a novel approach to quantify the influence of sensor precision on the PO of a 4.8 MW WT. We focus on evaluations under 5–20 m/s wind profiles, representing partial and full load regions that portray normal operation. Based on mean squared error (MSE) and parameter sensitivity (PS) index analyses, findings show the generator speed sensor’s precision significantly impacts PO. Therefore, designers should prioritize high-impact sensors like the generator speed, while sensorless strategies may be considered as alternatives to low-impact sensors like the blade pitch angle sensor, where appropriate.

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“…Wind harvesting technologies represent the most essential and promising alternative sources of renewable power generation [1]. The wind farms have a high efficiency compared with photovoltaic power stations and tidal power and represent a green energy source compared with biomass and nuclear power plants.…”

Section: Introductionmentioning

confidence: 99%

“…Vesely method is introduced in this work to obtain useful information. The effect of a single subassembly on the overall reliability of the system can be calculated as:1 …”

mentioning

confidence: 99%

Ranking Subassemblies of Wind Energy Conversion Systems Concerning Their Impact on the Overall Reliability

et al. 2021

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In this paper, an extensive reliability analysis of wind energy conversion systems (WECS) is presented. Elaborate the analysis is presented starting from the subassembly level to the subsystem level, then the system or the overall WECS. The fault tree method with a Weibull probability distribution function is introduced as a complete model for estimating the wind turbine subassemblies' reliability. The model was tested using a massive dataset of failure rates of various wind turbine subassemblies derived from relevant literature, comprising various operating concepts and the different climate conditions. In addition, ranking for various subassemblies of wind energy conversion systems concerning their impact on the overall system reliability is also presented in this paper to identify the weak items and subsystems. This identification guides the designers and planners in setting the appropriate maintenance strategies to increase the overall reliability of the considered systems and achieve a desired level of reliability. The results indicate that the model has practical applications for managing wind turbines, and the implementation demonstrates the proposed approach's effectiveness and efficiency, which may significantly enhance the WECS reliability.

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Perspectives on condition monitoring techniques of wind turbines

Cited by 10 publications

References 73 publications

Tacholess Time Synchronous Averaging for Gear Fault Diagnosis in Wind Turbine Gearboxes Using a Single Accelerometer

Tacholess Time Synchronous Averaging for Gear Fault Diagnosis in Wind Turbine Gearboxes Using a Single Accelerometer

Quantifying the impact of sensor precision on power output of a wind turbine: A sensitivity analysis via Monte Carlo simulation study

Ranking Subassemblies of Wind Energy Conversion Systems Concerning Their Impact on the Overall Reliability

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