Final Technical Report Recovery Act: Online Nonintrusive Condition Monitoring and Fault Detection for Wind Turbines

Wang, Qiao

doi:10.2172/1043180

Cited by 6 publications

(7 citation statements)

References 33 publications

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“…Fault diagnosis of wind turbines has been considered in many publications in recent years. The central papers in this topic include: Hameed et al, 7 Marquez et al, 8 Tchakoua et al, 9 Sheng and Veers, 10 Wei et al, 11 Wei and Verhaegen, 12 Saad et al, 13 Watson et al, 14 Gong and Qiao, 15 Feng et al, 16 Amirat et al, 17 Qiao, 18 Hang et al, 19 and Kusiak et al 20 The first 3 papers, Hameed et al, 7 Marquez et al, 8 and Tchakoua et al, 9 are survey papers considering the condition monitoring of wind turbines. In Tchakoua et al, 9 future challenges and new trends are discussed.…”

Section: Survey Of Existing Resultsmentioning

confidence: 99%

“…Different diagnosis methods based on modulation and demodulation are considered in Feng et al, 16 Amirat et al, 17 and Qiao. 18 In the first 2 papers, fault diagnosis is restricted to gearboxes and generators. In Qiao, 18 the diagnosis is restricted to not only generators and gearboxes but also faults on other parts of the turbines.…”

Section: Survey Of Existing Resultsmentioning

confidence: 99%

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Fault diagnosis and condition monitoring of wind turbines

Niemann

Poulsen

Mirzaei

et al. 2017

Adaptive Control & Signal

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This paper describes a model-free method for the fault diagnosis and condition monitoring of rotor systems in wind turbines. Both fault diagnosis and monitoring can be achieved without using a model for the wind turbine, applied controller, or wind profiles. The method is based on measurements from standard sensors on modern wind turbines, including moment sensors and rotor angle sensors. This approach will allow the method to be applied to existing wind turbines without any modifications. The method is based on the detection of asymmetries in the rotor system caused by changes or faults in the rotor system. A multiblade coordinate transformation is used directly on the measured flap-wise and edge-wise moments followed by signal modulation. Changes or faults in the rotor system will result in unique signatures in the set of modulation signals. These signatures are described through the amplitudes and phase information of the modulation signals. It is possible to detect and isolate which blade is faulty or has been changed based on these signatures. Furthermore, the faulty component can be isolated, ie, the actuator, sensor or blade, and the type of fault can be determined. The method can be used both on-and off-line.

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Section: Survey Of Existing Resultsmentioning

confidence: 99%

Section: Survey Of Existing Resultsmentioning

confidence: 99%

Fault diagnosis and condition monitoring of wind turbines

Niemann

Poulsen

Mirzaei

et al. 2017

Adaptive Control & Signal

View full text Add to dashboard Cite

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“…The new shaft rotating speed is given by [121,122]: (4) Therefore, the instantaneous phase for a faulty WT can be obtained: (5) The current for the faulty WT can then be written as:…”

Section: Power Signal Analysismentioning

confidence: 99%

“…A mechanical failure can also lead to amplitude modulation of the output current. For a three-phase generator, the stator current i k (t) (k = 1,2,3) can be described in a discrete form as [121,123]:…”

Section: Power Signal Analysismentioning

confidence: 99%

Land Cover and Topography Affect the Land Transformation Caused by Wind Facilities

2015

Wind Resources and Future Energy Security

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Abstract:As the demand for wind energy continues to grow at exponential rates, reducing operation and maintenance (OM) costs and improving reliability have become top priorities in wind turbine (WT) maintenance strategies. In addition to the development of more highly evolved WT designs intended to improve availability, the application of reliable and cost-effective condition-monitoring (CM) techniques offers an efficient approach to achieve this goal. This paper provides a general review and classification of wind turbine condition monitoring (WTCM) methods and techniques with a focus on trends and future challenges. After highlighting the relevant CM, diagnosis, and maintenance analysis, this work outlines the relationship between these concepts and related theories, and examines new trends and future challenges in the WTCM industry. Interesting insights from this research are used to point out strengths and weaknesses in today's WTCM industry and define research priorities needed for the industry to meet the challenges in wind industry technological evolution and market growth.

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“…As blade imbalance fault (BIF) occurs, it leads to the shaft torque variation of the WT at frequency f r , so called 1P, which depends on the shaft rotating frequency [4], [15]- [16]. Hence, under BIF condition, the shaft torque of the D-PMSG can be modeled as follows…”

Section: A Blade Imbalancementioning

confidence: 99%

Fault diagnosis of wind turbine using control loop current signals

Hang

Zhang

Cheng

2014

2014 IEEE Energy Conversion Congress and Exposition (ECCE)

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This paper presents a fault diagnosis method for direct-drive wind turbine with permanent magnet synchronous generator (D-PMSG) by using generator control loop current signals. In this method, the Vold-Kalman filtering order tracking technique is used to track the fault characteristic harmonic components from q-axis current signals. Then the envelopes of amplitudes of the fault harmonic components are calculated and applied for fault diagnosis of D-PMSG. To verify the proposed method, the simulation model is established in MATLAB/Simulink and the simulations are carried out. The results show that the proposed method is effective, where blade imbalance and winding asymmetry faults are successfully detected.

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Final Technical Report Recovery Act: Online Nonintrusive Condition Monitoring and Fault Detection for Wind Turbines

Cited by 6 publications

References 33 publications

Fault diagnosis and condition monitoring of wind turbines

Fault diagnosis and condition monitoring of wind turbines

Land Cover and Topography Affect the Land Transformation Caused by Wind Facilities

Fault diagnosis of wind turbine using control loop current signals

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