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书目名称Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration 影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0235202<br><br> <br><br>书目名称Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration 影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0235202<br><br> <br><br>书目名称Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration 网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0235202<br><br> <br><br>书目名称Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration 网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0235202<br><br> <br><br>书目名称Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration 被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0235202<br><br> <br><br>书目名称Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration 被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0235202<br><br> <br><br>书目名称Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration 年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0235202<br><br> <br><br>书目名称Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration 年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0235202<br><br> <br><br>书目名称Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration 读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0235202<br><br> <br><br>书目名称Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration 读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0235202<br><br> <br><br>统治人类 发表于 2025-3-22 00:15:38
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decomposition (MEMD) algorithm to enhance the capability of extracting fault features and theoretical problems in nonlinear frequency analysis methods, respectively. The effectiveness has been demonstrated by an experimental study on a wind turbine gearbox test rig.978-3-658-42479-4978-3-658-42480-0主讲人 发表于 2025-3-22 07:33:52
r systems, and application of deep mathematical and system theoretical methods to fault detection. The author develops the multivariate empirical mode decomposition (MEMD) algorithm to enhance the capability of extracting fault features and theoretical problems in nonlinear frequency analysis method平项山 发表于 2025-3-22 12:20:11
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https://doi.org/10.1007/978-3-658-42480-0Nonlinear frequency analysis; Vibration based condition monitoring; Nonlinear Output Frequency ResponsBadger 发表于 2025-3-22 23:37:58
978-3-658-42479-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesnarcotic 发表于 2025-3-23 02:50:22
Chunjian Robin Liu,Celina Gibbs,Yvonne Coadyains different types of gears, gear mesh stiffness, components and geometry of the gearbox and the typical gear faults. Then, an overview regarding WTB multi-stage gearboxes and their characteristic frequencies are demonstrated.出处 发表于 2025-3-23 05:32:26
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