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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
胡斌梁,罗一新,谢明
《中国工程科学》 2005年 第7卷 第6期 页码 66-68
论述了小波包分解及其能量谱处理五滚柱式定向离合器故障的原理与方法。应用小波包分解及其能量谱直观地识别出故障的特征频带,并进行了量化分析。结果表明,小波包及小波包分解能量谱比传统的傅立叶分析方法具有更大的优越性和价值。
Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON
《环境科学与工程前沿(英文)》 2014年 第8卷 第1期 页码 128-136 doi: 10.1007/s11783-013-0598-9
关键词: influent load prediction wavelet de-noising power spectrum density autoregressive model time-frequency analysis wastewater treatment
Causality between energy consumption and GDP in the U.S.: evidence from wavelet analysis
Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM
《能源前沿(英文)》 2014年 第8卷 第1期 页码 1-8 doi: 10.1007/s11708-013-0290-6
关键词: energy consumption economic growth wavelet analysis granger causality
龙震海,王西彬,王好臣
《中国工程科学》 2004年 第6卷 第10期 页码 28-31
在切削速度范围157~1000 m/min内,综合应用析因试验与速度单因素试验,对航空用难加工材料2Cr13马氏体不锈钢进行了高速干式铣削试验。在分析其切削力显著性影响因素的基础上,对切削力随机信号进行了现代谱分析与小波分析。研究结果表明,高速切削马氏体不锈钢材料时,切削速度和每齿进给量之间的交互作用对切削力有显著影响;铣削深度和每齿进给量之间的交互作用在切削力响应信号中表现为低频周期信号;低频周期信号与高频信号叠加后,其波形的振幅将会增大。
Combustion instability detection using the wavelet detail of pressure fluctuations
JI Junjie, LUO Yonghao
《能源前沿(英文)》 2008年 第2卷 第1期 页码 116-120 doi: 10.1007/s11708-008-0019-0
关键词: comparison wavelet approximation pressure transducer general pressure consistent
《工程管理前沿(英文)》 2021年 第8卷 第4期 页码 595-614 doi: 10.1007/s42524-021-0173-1
关键词: robust train speed profile percentile reliability model scenario-based position–time–speed network mixed-integer programming
null
《机械工程前沿(英文)》 2014年 第9卷 第2期 页码 130-141 doi: 10.1007/s11465-014-0298-6
Fault diagnosis of rolling element bearings requires efficient signal processing techniques. For this purpose, the performances of envelope detection with fast Fourier transform (FFT) and continuous wavelet transform (CWT) of vibration signals produced from a bearing with defects on inner race and rolling element, have been examined at low signal to noise ratio. Both simulated and experimental signals from identical bearings have been considered for the purpose of analysis. The bearings have been modeled as spring-mass-dashpot systems and the simulated signals have been obtained considering transfer functions for the bearing systems subjected to impulsive loads due to the defects. Frequency B spline wavelets have been applied for CWT and a discussion on wavelet selection has been presented for better effectiveness. Results show that use of CWT with the proposed wavelets overcomes the short coming of FFT while processing a noisy vibration signals for defect detection of bearings.
关键词: Fault detection spline wavelet continuous wavelet transform fast Fourier transform
Mirror system based therapy for autism spectrum disorders
CHEN Wei, ZHANG Jing, DING Jun
《医学前沿(英文)》 2008年 第2卷 第4期 页码 344-347 doi: 10.1007/s11684-008-0065-3
关键词: emotional cognition observation activation spectrum empirical research
Influence of envelope insulation materials on building energy consumption
Junlan YANG, Jiabao TANG
《能源前沿(英文)》 2017年 第11卷 第4期 页码 575-581 doi: 10.1007/s11708-017-0473-7
关键词: building envelope insulation materials energy consumption payback time
赵立业,周百令,李坤宇
《中国工程科学》 2006年 第8卷 第3期 页码 49-52
为了有效地消除各种外界干扰噪声对高精度海洋重力仪测量值的影响,提高重力异常测量值的精度,在分析了小波阈值及自适应小波阈值去噪算法的基础上,将其应用到高精度海洋重力仪系统数据处理中,并与自适应卡尔曼滤波做了对比,以处理后信号的信噪比作为衡量3种数据处理方法优劣的依据。理论分析和仿真实验表明,自适应小波阈值去噪方法、传统的小波阈值去噪方法和自适应卡尔曼滤波都能在一定程度上消除噪声信号对重力仪测量信号的影响,但在相同情况下,自适应小波阈值去噪方法具有明显的优越性。
Solar fuel from photo-thermal catalytic reactions with spectrum-selectivity: a review
Sanli TANG, Jie SUN, Hui HONG, Qibin LIU
《能源前沿(英文)》 2017年 第11卷 第4期 页码 437-451 doi: 10.1007/s11708-017-0509-z
关键词: photo-thermal catalysis spectrum-selectivity solar fuel full-spectrum
Lingxuan LIU, Zhongshun SHI, Leyuan SHI
《工程管理前沿(英文)》 2018年 第5卷 第4期 页码 487-498 doi: 10.15302/J-FEM-2018042
This study investigates an energy-aware flow shop scheduling problem with a time-dependent learning effect. The relationship between the traditional and the proposed scheduling problem is shown and objective is to determine a job sequence in which the total energy consumption is minimized. To provide an efficient solution framework, composite lower bounds are proposed to be used in a solution approach with the name of Bounds-based Nested Partition (BBNP). A worst-case analysis on shortest process time heuristic is conducted for theoretical measurement. Computational experiments are performed on randomly generated test instances to evaluate the proposed algorithms. Results show that BBNP has better performance than conventional heuristics and provides considerable computational advantage.
关键词: flow shop energy-aware scheduling learning effect nested partition worst-case error bound
MA Xiaoyan, CHEN Beibei, LI Qingsong, ZHANG Qiaoli, GU Guofen
《环境科学与工程前沿(英文)》 2007年 第1卷 第3期 页码 286-291 doi: 10.1007/s11783-007-0048-7
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 waveletenergy spectrum
Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU
期刊论文
Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment plants
Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON
期刊论文
Causality between energy consumption and GDP in the U.S.: evidence from wavelet analysis
Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM
期刊论文
Combustion instability detection using the wavelet detail of pressure fluctuations
JI Junjie, LUO Yonghao
期刊论文
Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network
期刊论文
Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration
null
期刊论文
Influence of envelope insulation materials on building energy consumption
Junlan YANG, Jiabao TANG
期刊论文
Solar fuel from photo-thermal catalytic reactions with spectrum-selectivity: a review
Sanli TANG, Jie SUN, Hui HONG, Qibin LIU
期刊论文
Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent
Lingxuan LIU, Zhongshun SHI, Leyuan SHI
期刊论文
Detection of geosmin and 2-methylisoborneol by liquid-liquid extraction-gas chromatograph mass spectrum(LLE-GCMS) and solid phase extraction-gas chromatograph mass spectrum (SPE-GCMS)
MA Xiaoyan, CHEN Beibei, LI Qingsong, ZHANG Qiaoli, GU Guofen
期刊论文