Documents disponibles écrits par cet auteur

Condition monitoring of the power output of wind turbine generators using wavelets / Watson, S.J. in IEEE transactions on energy conversion, Vol. 25, N° 3 (Septembre 2010) 

Public ISBD [article]  in IEEE transactions on energy conversion > Vol. 25, N° 3 (Septembre 2010) . - pp. 715 - 721 Titre : Condition monitoring of the power output of wind turbine generators using wavelets Type de document : texte imprimé Auteurs : Watson, S.J., Auteur ; Xiang, B.J., Auteur ; Wenxian, Yang, Auteur Année de publication : 2011 Article en page(s) : pp. 715 - 721 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : asynchronous  generators;  condition  monitoring;  fault  diagnosis;  power  generation  faults;  turbogenerators;  wavelet  transforms;  wind  turbines Résumé : With an increasing number of wind turbines being erected offshore, there is a need for cost-effective, predictive, and proactive maintenance. A large fraction of wind turbine downtime is due to bearing failures, particularly in the generator and gearbox. One way of assessing impending problems is to install vibration sensors in key positions on these subassemblies. Such equipment can be costly and requires sophisticated software for analysis of the data. An alternative approach, which does not require extra sensors, is investigated in this paper. This involves monitoring the power output of a variable-speed wind turbine generator and processing the data using a wavelet in order to extract the strength of particular frequency components, characteristic of faults. This has been done for doubly fed induction generators (DFIGs), commonly used in modern variable-speed wind turbines. The technique is first validated on a test rig under controlled fault conditions and then is applied to two operational wind turbine DFIGs where generator shaft misalignment was detected. For one of these turbines, the technique detected a problem 3 months before a bearing failure was recorded. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5422657&sortType%3Das [...] [article] Condition monitoring of the power output of wind turbine generators using wavelets [texte imprimé] / Watson, S.J., Auteur ; Xiang, B.J., Auteur ; Wenxian, Yang, Auteur . - 2011 . - pp. 715 - 721. energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 25, N° 3 (Septembre 2010) . - pp. 715 - 721 Mots-clés : asynchronous  generators;  condition  monitoring;  fault  diagnosis;  power  generation  faults;  turbogenerators;  wavelet  transforms;  wind  turbines Résumé : With an increasing number of wind turbines being erected offshore, there is a need for cost-effective, predictive, and proactive maintenance. A large fraction of wind turbine downtime is due to bearing failures, particularly in the generator and gearbox. One way of assessing impending problems is to install vibration sensors in key positions on these subassemblies. Such equipment can be costly and requires sophisticated software for analysis of the data. An alternative approach, which does not require extra sensors, is investigated in this paper. This involves monitoring the power output of a variable-speed wind turbine generator and processing the data using a wavelet in order to extract the strength of particular frequency components, characteristic of faults. This has been done for doubly fed induction generators (DFIGs), commonly used in modern variable-speed wind turbines. The technique is first validated on a test rig under controlled fault conditions and then is applied to two operational wind turbine DFIGs where generator shaft misalignment was detected. For one of these turbines, the technique detected a problem 3 months before a bearing failure was recorded. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5422657&sortType%3Das [...]

Cost-effective condition monitoring for wind turbines / Wenxian, Yang in IEEE transactions on industrial electronics, Vol. 57 N° 1 (Janvier 2010) 

Public ISBD [article]  in IEEE transactions on industrial electronics > Vol. 57 N° 1 (Janvier 2010) . - pp. 263 - 271 Titre : Cost-effective condition monitoring for wind turbines Type de document : texte imprimé Auteurs : Wenxian, Yang, Auteur ; Tavner, Peter J., Auteur ; Crabtree, Christopher J., Auteur Article en page(s) : pp. 263 - 271 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Adaptive  signal  processing  Condition  monitoring  Fault  diagnosis  Induction  generators  Signal  processing  Synchronous  generators  Time-frequency  analysis  Wavelet  transforms  Wind  power  generation Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Cost-effective wind turbine (WT) condition monitoring assumes more importance as turbine sizes increase and they are placed in more remote locations, for example, offshore. Conventional condition monitoring techniques, such as vibration, lubrication oil, and generator current signal analysis, require the deployment of a variety of sensors and computationally intensive analysis techniques. This paper describes a WT condition monitoring technique that uses the generator output power and rotational speed to derive a fault detection signal. The detection algorithm uses a continuous-wavelet-transform-based adaptive filter to track the energy in the prescribed time-varying fault-related frequency bands in the power signal. The central frequency of the filter is controlled by the generator speed, and the filter bandwidth is adapted to the speed fluctuation. Using this technique, fault features can be extracted, with low calculation times, from direct- or indirect-drive fixed- or variable-speed WTs. The proposed technique has been validated experimentally on a WT drive train test rig. A synchronous or induction generator was successively installed on the test rig, and both mechanical and electrical fault like perturbations were successfully detected when applied to the test rig. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5256318 [article] Cost-effective condition monitoring for wind turbines [texte imprimé] / Wenxian, Yang, Auteur ; Tavner, Peter J., Auteur ; Crabtree, Christopher J., Auteur . - pp. 263 - 271. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 57 N° 1 (Janvier 2010) . - pp. 263 - 271 Mots-clés : Adaptive  signal  processing  Condition  monitoring  Fault  diagnosis  Induction  generators  Signal  processing  Synchronous  generators  Time-frequency  analysis  Wavelet  transforms  Wind  power  generation Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : Cost-effective wind turbine (WT) condition monitoring assumes more importance as turbine sizes increase and they are placed in more remote locations, for example, offshore. Conventional condition monitoring techniques, such as vibration, lubrication oil, and generator current signal analysis, require the deployment of a variety of sensors and computationally intensive analysis techniques. This paper describes a WT condition monitoring technique that uses the generator output power and rotational speed to derive a fault detection signal. The detection algorithm uses a continuous-wavelet-transform-based adaptive filter to track the energy in the prescribed time-varying fault-related frequency bands in the power signal. The central frequency of the filter is controlled by the generator speed, and the filter bandwidth is adapted to the speed fluctuation. Using this technique, fault features can be extracted, with low calculation times, from direct- or indirect-drive fixed- or variable-speed WTs. The proposed technique has been validated experimentally on a WT drive train test rig. A synchronous or induction generator was successively installed on the test rig, and both mechanical and electrical fault like perturbations were successfully detected when applied to the test rig. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5256318