Condition Monitoring Techniques of the Wind Turbines Gearbox and Rotor

Salem, A.; Abu-Siada, A.; Islam, Syed

doi:10.12720/ijoee.2.1.53-56

Cited by 19 publications

(12 citation statements)

References 24 publications

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“…In the meantime, the capacity of the single Wind Turbine (WT) is growing continuously. This calls for a higher demand for WT control systems and condition monitoring systems for the purposes of extracting wind energy more efficiently and protecting the WT [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Method for Wind Turbine Yaw Angle Sensor Zero-Point Shifting Fault Detection

et al. 2018

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Wind turbine yaw control plays an important role in increasing the wind turbine production and also in protecting the wind turbine. Accurate measurement of yaw angle is the basis of an effective wind turbine yaw controller. The accuracy of yaw angle measurement is affected significantly by the problem of zero-point shifting. Hence, it is essential to evaluate the zero-point shifting error on wind turbines on-line in order to improve the reliability of yaw angle measurement in real time. Particularly, qualitative evaluation of the zero-point shifting error could be useful for wind farm operators to realize prompt and cost-effective maintenance on yaw angle sensors. In the aim of qualitatively evaluating the zero-point shifting error, the yaw angle sensor zero-point shifting fault is firstly defined in this paper. A data-driven method is then proposed to detect the zero-point shifting fault based on Supervisory Control and Data Acquisition (SCADA) data. The zero-point shifting fault is detected in the proposed method by analyzing the power performance under different yaw angles. The SCADA data are partitioned into different bins according to both wind speed and yaw angle in order to deeply evaluate the power performance. An indicator is proposed in this method for power performance evaluation under each yaw angle. The yaw angle with the largest indicator is considered as the yaw angle measurement error in our work. A zero-point shifting fault would trigger an alarm if the error is larger than a predefined threshold. Case studies from several actual wind farms proved the effectiveness of the proposed method in detecting zero-point shifting fault and also in improving the wind turbine performance. Results of the proposed method could be useful for wind farm operators to realize prompt adjustment if there exists a large error of yaw angle measurement.

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Section: Introductionmentioning

confidence: 99%

Data-Driven Method for Wind Turbine Yaw Angle Sensor Zero-Point Shifting Fault Detection

et al. 2018

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“…Once fault arises in the wind turbine gearbox, it is inevitable that the power generation efficiency is reduced, and eventually an unscheduled downtime occurs. Condition monitoring and fault diagnosis (CMFD) systems are intended to detect conditions leading to faults of a gearbox and recommend timely maintenance [3,4]. Amirata et al [5] discussed the importance of CMFD in blades, gearbox, and generator, and described different types of faults, their signatures, and recommended diagnostic schemes.…”

Section: Introductionmentioning

confidence: 99%

Application of the multi‐scale enveloping spectrogram to detect weak faults in a wind turbine gearbox

Teng

Wang

et al. 2017

IET Renewable Power Generation

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The gearbox of a wind turbine involves multiple rotating components, each having a potential to be affected by a fault. Detecting weak faults of these components with traditional demodulation analysis is challenging. Multi-scale enveloping spectrogram (MuSEnS) decomposes a vibration signal into different frequency bands while simultaneously generating the corresponding envelope spectra. In this study, a MuSEnS-based diagnosis approach is applied to detect faults affecting the intermediate stage of a gearbox installed in an operating wind turbine. The MuSEnSs of 12 vibration channels have allowed to identify multiple fault features, including the weak fault of the big gear on the sun shaft. The effectiveness of the proposed fault diagnosis approach has been tested with industrial data and the faults themself have been confirmed with the disassembled gears.

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“…Improvement of the mechanical strain of the wind turbines is achieved by applying direct control to the induction generator electromagnetic torque [1]. Failure of specific wind turbine component such as blades, gearbox, breaking system and tower may lead to a catastrophic failure jeopardizing the whole investment [2,3]. The propulsive forces resulted from wind speed variation that the WT rotor faces during operation have a significant impact on the lifespan of the WT.…”

Section: Introductionmentioning

confidence: 99%

“…When a wind gust hits the rotor, blades movement can cause a temporary misalignment between the two shafts connected through the gearbox [14]. This may lead to a decay on the bearing loads and minimize lifespan of the wind turbine [2]. Authors of [15,16] categorised the common gear failures into two types of stress; contact stress and root bending stress.…”

Section: Introductionmentioning

confidence: 99%

Application of Order Analysis to Diagnose Fatigue within Wind Turbine Gearbox

Salem

Abu-Siada

Islam

2017

Technol Econ Smart Grids Sustain Energy

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One of the most expensive and critical component in wind turbines is the gearbox. Gearbox failure may have significant impacts on the network in terms of continuity of power supply especially in islanded areas where the majority of power demand is supplied by wind farms. As such, an effective condition monitoring technique for wind turbine gearbox should be adopted to avoid any catastrophic failure to the gearbox and maintain system reliability. This paper presents a technique to monitor the gearbox condition through monitoring the shaft torque and the gearbox vibration signals. Practical measurement is conducted on a test rig that emulating real wind turbine operation. Model based control technique using voltage slider by injecting a current through the induction generator stator terminals is applied to emulate real fault conditions on the wind turbine blades such as icing accumulation, wind share and gust wind. Order analysis technique is used to analyse and compare the obtained signals during normal and abnormal operating conditions.

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Condition Monitoring Techniques of the Wind Turbines Gearbox and Rotor

Cited by 19 publications

References 24 publications

Data-Driven Method for Wind Turbine Yaw Angle Sensor Zero-Point Shifting Fault Detection

Data-Driven Method for Wind Turbine Yaw Angle Sensor Zero-Point Shifting Fault Detection

Application of the multi‐scale enveloping spectrogram to detect weak faults in a wind turbine gearbox

Application of Order Analysis to Diagnose Fatigue within Wind Turbine Gearbox

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