检索范围：
排序： 展示方式：
Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU
《机械工程前沿（英文）》 2017年 第12卷 第3期 页码 406-419 doi: 10.1007/s11465-017-0419-0
Planetary transmission plays a vital role in wind turbine drivetrains, and its fault diagnosis has been an important and challenging issue. Owing to the complicated and coupled vibration source, time-variant vibration transfer path, and heavy background noise masking effect, the vibration signal of planet gear in wind turbine gearboxes exhibits several unique characteristics: Complex frequency components, low signal-to-noise ratio, and weak fault feature. In this sense, the periodic impulsive components induced by a localized defect are hard to extract, and the fault detection of planet gear in wind turbines remains to be a challenging research work. Aiming to extract the fault feature of planet gear effectively, we propose a novel feature extraction method based on spectral kurtosis and time wavelet energy spectrum (SK-TWES) in the paper. Firstly, the spectral kurtosis (SK) and kurtogram of raw vibration signals are computed and exploited to select the optimal filtering parameter for the subsequent band-pass filtering. Then, the band-pass filtering is applied to extrude periodic transient impulses using the optimal frequency band in which the corresponding SK value is maximal. Finally, the time wavelet energy spectrum analysis is performed on the filtered signal, selecting Morlet wavelet as the mother wavelet which possesses a high similarity to the impulsive components. The experimental signals collected from the wind turbine gearbox test rig demonstrate that the proposed method is effective at the feature extraction and fault diagnosis for the planet gear with a localized defect.
关键词： wind turbine planet gear fault feature extraction spectral kurtosis time wavelet energy spectrum
Pengxing YI,Lijian DONG,Tielin SHI
《机械工程前沿（英文）》 2014年 第9卷 第4期 页码 354-367 doi: 10.1007/s11465-014-0319-5
To improve the dynamic performance and reduce the weight of the planet carrier in wind turbine gearbox, a multi-objective optimization method, which is driven by the maximum deformation, the maximum stress and the minimum mass of the studied part, is proposed by combining the response surface method and genetic algorithms in this paper. Firstly, the design points’ distribution for the design variables of the planet carrier is established with the central composite design (CCD) method. Then, based on the computing results of finite element analysis (FEA), the response surface analysis is conducted to find out the proper sets of design variable values. And a multi-objective genetic algorithm (MOGA) is applied to determine the direction of optimization. As well, this method is applied to design and optimize the planet carrier in a 1.5 MW wind turbine gearbox, the results of which are validated by an experimental modal test. Compared with the original design, the mass and the stress of the optimized planet carrier are respectively reduced by 9.3% and 40%. Consequently, the cost of planet carrier is greatly reduced and its stability is also improved.
关键词： planet carrier multi-objective optimization genetic algorithms wind turbine gearbox modal experiment
Managing soil quality for humanity and the planet
Rattan LAL
《农业科学与工程前沿（英文）》 2020年 第7卷 第3期 页码 251-253 doi: 10.15302/J-FASE-2020329
Rather than a human-centric, the basic strategy of achieving Sustainable Development Goals must be focused on restoring and sustaining planetary processes. The urgency of meeting the demands of the humanity must be reconciled with the necessity of enhancing the environment. Increasing and restoring soil organic matter content of the degraded and depleted soils is critical to strengthening planetary processes.
关键词： soil quality humanity planet climate change soil carbon sequestration food and nutritional security
Planet position errors in planetary transmission: Effect on load sharing and transmission error
Miguel IGLESIAS, Alfonso FERNáNDEZ, Ana DE-JUAN, Ramón SANCIBRIáN, Pablo GARCíA
《机械工程前沿（英文）》 2013年 第8卷 第1期 页码 80-87 doi: 10.1007/s11465-013-0362-7
In this paper an advanced model of spur gear transmissions developed by the authors is used to study the influence of carrier planet pin hole position errors on the behaviour of the transmission. The model, initially conceived for external gear modeling, has been extended with internal meshing features, and thus increasing its capabilities to include planetary transmission modeling. The new features are presented, along with the summary of the model general approach. The parameters and characteristics of the planetary transmission used in the paper are introduced. The influence of carrier planet pin hole position errors on the planet load sharing is studied, and several static cases are given as examples in order to show the ability of the model. Tangential and radial planet pin hole position errors are considered independently, and the effect of the load level is also taken into account. It is also given attention to the effect on the transmission error of the transmission. Two different configurations for the planetary transmission are used, attending to the fixed or floating condition of the sun, and the differences in terms of load sharing ratio are shown.
关键词： gear planetary epicyclic transmission load sharing transmission error
标题 作者 时间 类型 操作
Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet
Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU
期刊论文
Multi-objective genetic algorithms based structural optimization and experimental investigation of the planet
Pengxing YI,Lijian DONG,Tielin SHI
期刊论文
京公网安备 11010502051620号
