Fault diagnosis of wind turbine generator bearings using fast spectral correlation

2021 ◽  
pp. 0309524X2110463
Author(s):  
Jin Xu ◽  
Xian Ding ◽  
Jiuhua Wang ◽  
Junjie Zheng
Keyword(s):  
Wind Turbine ◽  
High Speed ◽  
Computational Cost ◽  
Turbine Generator ◽  
Spectral Correlation ◽  
Wind Turbine Gearbox ◽  
Wind Turbine Generator ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Diagnosis Accuracy

Bearings are the critical parts that support the rotating of rotor of wind turbine generators. Due to high speed revolution and affected by potential misalignment between rotor and the high speed shaft in wind turbine gearbox, the fault ratio in wind turbine generator bearings is high. Once the bearings fail, it will cause gap eccentricity, even rub, or sweeping chamber between rotor and stator. Under fault conditions, the vibration signals from rotating machinery exhibits distinct second cyclostationarity. In the light of this, the fast spectral correlation based method is applied to the fault extraction of bearings in wind turbine generators. Through converting conventional correlation into summation algorithm, the computational cost is reduced largely, meanwhile, the diagnosis accuracy is guaranteed. The effectiveness of the method in this paper is verified by two fault cases from on-site wind turbines.

Electromagnetomechanical Coupled Vibration Analysis of a Direct-Drive Off-Shore Wind Turbine Generator

2015 ◽  
Vol 10 (4) ◽  
Author(s):  
Michael Kirschneck ◽  
Daniel J. Rixen ◽  
Henk Polinder ◽  
Ron A. J. van Ostayen
Keyword(s):  
Wind Turbine ◽  
Structural Dynamics ◽  
Large Diameter ◽  
Air Gap ◽  
Direct Drive ◽  
Turbine Generator ◽  
Wind Turbine Generator ◽  
Generator Rotor ◽  
Turbine Generators ◽  
Wind Turbine Generators

In large direct-drive off-shore wind turbine generators one challenge is to engineer the system to function securely with an air gap length of about a thousandth of the outer rotor diameter. Compared to the large diameter of the generator rotor, the rolling element bearings can only be constructed with a relatively limited size. This makes it challenging to design appropriate constructions able to transmit the large applied magnetic forces encountered in the air gap of direct drive wind turbine generators. Currently, this challenge is met by designing stiff heavy rotors that are able to withstand the forces in the air gap. Incorporating flexibility into the design of the rotor structure can lead to a lighter less expensive rotor. In order to be able to do this the magnetomechanical coupling in the air gap and its effect on the structural dynamics need to be taken into account when predicting the intended flexibility. This paper introduces an approach for a multiphysical modal analysis that makes it possible to predict the dynamics of the strongly coupled magnetomechanical system. The new method is validated using measurements of a simple lab setup. It is then applied to a single-bearing design direct-drive wind turbine generator rotor to calculate the changes of the structural dynamics caused by the electromagnetomechanical coupling.

Computer Simulation and Design of the Control System for a Wind Turbine Generator

1980 ◽  
Vol 102 (1) ◽  
pp. 14-18
Author(s):  
H. Sambar ◽  
V. Pavelic ◽  
R. J. Warner
Keyword(s):  
Control System ◽  
Wind Turbine ◽  
Hydraulic System ◽  
Load Condition ◽  
Turbine Generator ◽  
Wind Turbine Generator ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Control Concept ◽  
New Generation

This project is a part of an overall study aimed at producing a new generation of wind turbine generators. The wind turbine generator proposed is a horizontal axis machine with three blades operating downwind. A hydraulic system actuates mechanical linkages to control blade pitch during operation. The blade pitch control concept provides active control of rotor rpm above the rated wind speed and during no load condition. The lowering of blade and tower loads while providing the capability for well tuned rotor control are its primary features. A hydraulic system, designed to control the pitch of the blades of a wind turbine generator, is simulated on the digital computer using the Runge-Kutta method. The control system subroutine is coupled with the aerodynamic subroutines of the blades to represent the model for the wind turbine generator. The response of the simulated wind turbine to a real wind case is shown to agree with the desired response.

Augmenting the signal processing–based mitigation techniques for removing wind turbine and radar interference

2020 ◽  
pp. 0309524X2094854
Author(s):  
Ashish Sharma ◽  
V Chintala
Keyword(s):  
Signal Processing ◽  
Wind Turbine ◽  
Traffic Control ◽  
Radar Signal ◽  
Turbine Generator ◽  
Wind Turbine Generator ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Doppler Techniques ◽  
Mitigation Techniques

The interference between wind turbine generators and radar is now being considered as one of the major deterrents towards seeking clearance for new wind energy project. The windfarm developers have to seek clearance from Civil Air Traffic Control and Defence Department certifying that the windfarms will not create interference with radars. The tower of wind turbine generator along with blades presents a large radar cross section to radars, thus creating static clutter; moreover, rotation of wind turbine generator blades creates Doppler ambiguities which confuse radar operators. Many radar designers have proposed mitigation techniques to overcome this issue; however, each technique has its own limitation. The study takes a two-pronged approach to address the issue of wind turbine generator static clutter due to tower and blades and the resolution of Doppler ambiguities through signal processing–based mitigation techniques. In addition, the study also suggests the use of micro-Doppler techniques for signature identification of wind turbine generator blades for eliminating their effect during the radar signal processing. The article presents a step-by-step mitigation technique to resolve the wind turbine generator and radar interference issue.

Research on the Faults due to Bearing-Gear Mismatching in Gearbox of Wind Turbine Generator

2014 ◽  
Vol 889-890 ◽  
pp. 537-541
Author(s):  
Cheng Zhi Zeng ◽  
De Yao Tang ◽  
Yi Gao
Keyword(s):  
Wind Turbine ◽  
Design Method ◽  
Planetary Gear ◽  
Turbine Generator ◽  
Wind Turbine Generator ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Matching Design ◽  
Planetary Gear System ◽  
Doubly Fed

In order to lower down the fault rate of bearings and gears, tighten up the mechanical components safety and lengthen their lifetime, a new design method [ has occurred by matching bearings with gears. Whereas, this methodology is based on the simple transmission system, and it seems not applicable in more complicated transmission systems, such as gearboxes in doubly-fed wind turbine generators, which really need to be further studied, and thats where the topic of this article lies. By doing research on the bearing-gear matching design of planetary gear system in gearbox of wind turbine generator, equations are worked out. Succeedingly, by verifying the data from simulating experiments and on-site cases, it turns out that the spectrum characteristics of those two kinds of data match with each other correctly, and as a consequence, the new matching design is thus proved to be available.

Vibration and noise studies on wind turbine generator for reduction of vibrations and noise

2020 ◽  
Vol 17 (1) ◽  
pp. 134-143
Author(s):  
Ramakrishna Shinagam ◽  
Guntaka Ajay ◽  
Lokanadham Patta ◽  
Anand Siva Gandam
Keyword(s):  
Wind Turbine ◽  
Natural Frequency ◽  
Vibration Velocity ◽  
Rotational Axis ◽  
Turbine Generator ◽  
Content Type ◽  
Steel Coil ◽  
Wind Turbine Generator ◽  
Turbine Generators ◽  
Wind Turbine Generators

Purpose Wind power is the one of best natural resources to meet the demands of electricity in India. In this regard, one of engineering college in Visakhapatnam has procured wind turbine generators of 200 kWp and got these installed on the rooftop of the college buildings for research and power generation. After starting the mills, huge vibrations were experienced by the staff and students in the laboratories and classrooms. So, the purpose of this paper is to carry out vibration and noise studies on wind turbine generator to identify the problem for high vibrations and suggest a novel method for vibration reduction. Design/methodology/approach Experimental vibration and natural frequency investigations are carried when wind velocity around 6.0 m/s using frequency analyzer, impact hammer, condenser microphone and accelerometer. An attempt is made to reduce the vibration and noise level of wind turbine generator by inserting a steel coil spring of 300 mm length having 20 turns in series with turnbuckle D shackle assembly, which is used to connect the wind turbine generator to the hook mounted on slab. Findings A high vibration velocity of 9.9 mm/s was observed on at base frame of wind turbine generator. The natural frequencies of hook and slab are observed in between 15 to 20 Hz from the natural frequency test. A high noise of 94.67 dBA is observed at a distance of 1 m from the base of wind turbine generator along the rotational axis of rotor. After modification to the baseline, WTG the vibration and noise levels are reduced to 4.8 mm/sec and 77.76 dBA, respectively. Originality/value This is the first time to study the huge vibrations generated in wind turbine generators installed on the rooftop of the college. Developed a novel methodology to reduce the vibrations by inserting a steel coil springs in turnbuckle D shackle assembly of wind turbine generators. After modification, wind turbine generator are running successfully without any high vibrations.

A Review of the Development of Wind Turbine Generators Across the World

2012 ◽  
Author(s):  
N. Goudarzi ◽  
W. D. Zhu
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Turbine Generator ◽  
Power Sources ◽  
Technical Data ◽  
Advantages And Disadvantages ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
The World ◽  
Market Trends

Wind power as a source of green and abundant energy has acquired a great momentum across the world and is proposed as one of the main new world power sources. In the last few decades, wind turbines with different generators have been developed to increase the maximum power capture, minimize the costs, and expand the use of the wind turbines in both onshore and offshore applications. This paper studies the development of different types of wind turbine generator technologies and discusses the advantages and disadvantages of each type. In addition, a comparison of different generator designs based on the technical data and market trends is provided. To better understand the development of generator concepts on the market, the market trends of current large generators with a capacity of 2.5 MW and above across the world are evaluated.

Bayesian Networks in Electric Reliability Assessment of Doubly-Fed Wind Turbine Generator

2014 ◽  
Vol 494-495 ◽  
pp. 1791-1794 ◽  
Author(s):  
Hai Ning Pan ◽  
Ming Qin ◽  
Jun Zhang ◽  
Chao Chang ◽  
Pan Lei
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Reliability Assessment ◽  
Turbine Generator ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Reliability Methods ◽  
Doubly Fed ◽  
Electrical Components ◽  
Large Wind

For the development of large wind turbines, the approach of trial and error is also not adequate for mass produced wind turbines, a reliability-concerned manufacturing must be involved for the future development. An approach which introduces probabilistic reliability assessment which incorporates reliability methods into wind turbine engineering is described. Fault Tree of wind turbine generators electrical components is firstly built. Then it is transformed to the Bayesian network and probabilistic distribution is preceded using Markov chain Monte Carlo inference. Finally a set of qualitative and quantitative reliability is given according to a specific probabilistic input.

scholarly journals A New Pitch Angle Control Method of Wind Turbine Generators Based on Feedforward Wind Speed Information

2019 ◽  
Vol 122 ◽  
pp. 04001
Author(s):  
Mouayad Sahib ◽  
Thaker Nayl
Keyword(s):  
Power Generation ◽  
Wind Speed ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Control Method ◽  
Turbine Generator ◽  
Wind Turbine Generator ◽  
Intelligent Control System ◽  
Turbine Generators ◽  
New Strategy

In this work, a new strategy to control the pitch angle of wind turbine generator is proposed. The strategy is based on designing an intelligent control system capable of maintaining a stable minimum fluctuating power generation. This can be achieved by providing the wind speed information to the controller in advance and hence allowing the controller to take the optimum action in controlling the blade pitch angle. A model based optimizer uses Model Predictive Control (MPC) technique to predict the wind turbine generator future behaviour and select the optimal control actions assisted by the wind speed information while satisfying the power generation constraints. The simulation results show that a significant improvement can be made using the proposed control method.

A neural network approach for improved bearing prognostics of wind turbine generators

2021 ◽  
Vol 93 (2) ◽  
pp. 20901
Author(s):  
Sharaf Eddine Kramti ◽  
Jaouher Ben Ali ◽  
Lotfi Saidi ◽  
Mounir Sayadi ◽  
Moez Bouchouicha ◽  
...  
Keyword(s):  
Neural Network ◽  
Wind Turbine ◽  
High Speed ◽  
Remaining Useful Life ◽  
Neural Network Approach ◽  
Elman Neural Network ◽  
Power Monitoring ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Statistical Metrics

Condition monitoring of High-Speed Shaft Bearing (HSSB) in Wind Turbine Generators (WTGs) remains a challenging subject for industrial and academic studies. The investigation of mechanical vibration signals presents the most popular method in the literature. Consequently, this work involves a novel data-driven approach for direct HSSB prognosis using the vibration analysis. The proposed method is based on the computation of traditional statistical metrics derived both from the time-domain and frequency-domain via Spectral Kurtosis (SK). Then, the selection of the most suitable features was made using three metrics (monotonicity, trendability, prognosablity) to guarantee a better generalization of the trained Elman Neural Network (ENN). The validation of the proposed method was done using the benchmark of the center for Intelligent Maintenance Systems (IMS) for training and real measured Green Power Monitoring Systems (GPMS) data for testing. We have provided two links for downloading these data sets. The experimental results show that the proposed approach presents a powerful prediction tool. Comparative results with previous work show several advantages for the proposed combination of statistical metrics and ENN, such as the external prediction and real online estimation of the Remaining Useful Life (RUL). Also, some new practical findings are provided in the discussion.

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