Search Results - subject:"Gearbox"

A deep learning approach for health monitoring in rotating machineries using vibrations and thermal features

Ong, Pauline; John Koshy, Anelka; Lai Kee Huong; Chee … - In: Decision analytics journal 10 (2024), pp. 1-9

Gearbox failures can lead to substantial damage, significant financial losses due to maintenance downtimes, and, in …

Persistent link: https://www.econbiz.de/10014541844

A deep convolutional neural network for vibration-based health-monitoring of rotating machinery

Ong, Pauline; Tan Yean Keong; Lai Kee Huong; Chee Kiong Sia - In: Decision analytics journal 7 (2023), pp. 1-9

The gearbox is a critical component in the mechanical system, requiring vigilant monitoring to prevent adverse … consequences on safety and quality due to malfunction. Therefore, early fault diagnosis of the gearbox before the fatal breakdown …

Persistent link: https://www.econbiz.de/10014436400

Wind turbine technology battles : gearbox versus direct drive : opening up the black box of technology characteristics

Kaa, Geerten van de; Ek, Martijn van; Kamp, Linda M.; … - In: Technological forecasting & social change : an … 153 (2020), pp. 1-7

Persistent link: https://www.econbiz.de/10012234692

Time Domain Modeling and Analysis of Dynamic Gear Contact Force in a Wind Turbine Gearbox with Respect to Fatigue Assessment

Dong, Wenbin; Xing, Yihan; Moan, Torgeir - In: Energies 5 (2012) 11, pp. 4350-4371

The gearbox is one of the most expensive components of the wind turbine system. In order to refine the design and hence … of gearbox design loads. In this study, three problems in time domain based gear contact fatigue analysis under dynamic … Laboratory’s 750 kW land-based Gearbox Reliability Collaborative wind turbine. …

Persistent link: https://www.econbiz.de/10010675972

Wind Turbine Gearbox Condition Monitoring with AAKR and Moving Window Statistic Methods

Guo, Peng; Bai, Nan - In: Energies 4 (2011) 11, pp. 2077-2093

offshore wind farms. A new condition monitoring method for a wind turbine gearbox using temperature trend analysis is proposed …. Autoassociative Kernel Regression (AAKR) is used to construct the normal behavior model of the gearbox temperature. With a proper … construction of the memory matrix, the AAKR model can cover the normal working space for the gearbox. When the gearbox has an …

Persistent link: https://www.econbiz.de/10010668103

The dynamic behavior induced by different wind turbine gearbox suspension methods assessed by means of the flexible multibody technique

Helsen, Jan; Peeters, Pepijn; Vanslambrouck, Klaas; … - In: Renewable Energy 69 (2014) C, pp. 336-346

The continuous demand for increase in power output for new wind parks under strict cost constraints, the greater wind resource at elevation and the desire for fewer machines per Mega-Watt to reduce operations resulted in a demand for bigger turbines. The drive train is an important component in...

Persistent link: https://www.econbiz.de/10010805857

Fault diagnosis of wind turbine planetary gearbox under nonstationary conditions via adaptive optimal kernel time–frequency analysis

Feng, Zhipeng; Liang, Ming - In: Renewable Energy 66 (2014) C, pp. 468-477

-varying running conditions due to the volatile wind conditions. The planetary gearbox vibration signals in such an environment are … planetary gearbox monitoring. More specifically, we exploit the adaptive optimal kernel (AOK) method for this challenging …) faults with very weak signature (e.g., the sun gear fault at the low speed stage of a WT planetary gearbox). …

Persistent link: https://www.econbiz.de/10010806449

Research on dynamical characteristics of wind turbine gearboxes with flexible pins

Zhu, Caichao; Xu, Xiangyang; Liu, Huaiju; Luo, Tianhong; … - In: Renewable Energy 68 (2014) C, pp. 724-732

the service lives of wind turbines. In this work, a coupled dynamic model is developed for a wind turbine gearbox with … pins. The sub-transmission system of the gearbox, which consists of a planetary gear stage and a parallel gear stage, and … are studied using a lumped parameter model, in which the stiffnesses of the gearbox body is predicted using the finite …

Persistent link: https://www.econbiz.de/10010804803

Feature selection for fault level diagnosis of planetary gearboxes

Liu, Zhiliang; Zhao, Xiaomin; Zuo, Ming; Xu, Hongbing - In: Advances in Data Analysis and Classification 8 (2014) 4, pp. 377-401

Feature selection is critical to maintain high performance of classification-based fault diagnosis with a large feature size. In this paper, we propose a criterion to evaluate features effectiveness by class separability that is defined on cosine similarity in the kernel space of the Gaussian...

Persistent link: https://www.econbiz.de/10011151406

Determination of the combined vibrational and acoustic emission signature of a wind turbine gearbox and generator shaft in service as a pre-requisite for effective condition monito...

Soua, Slim; Van Lieshout, Paul; Perera, Asanka; Gan, … - In: Renewable Energy 51 (2013) C, pp. 175-181

continuous period of 5 days on a wind turbine. The vibrational and AE signatures for a healthy wind turbine gearbox and generator … of abnormal signatures attributable to shaft and gearbox defects. Worst-case standard deviations have been calculated for …

Persistent link: https://www.econbiz.de/10011045696