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北京航空航天大学 [27]

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期刊论文 [19]

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限定条件	专题：北京航空航天大学第一署名单位第一作者单位通讯作者单位

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	Condition Monitoring for Wind Turbine Pitch System Using Multi-parameter Health Indicator 会议论文 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings, 2018-11-06 作者: Yang, C.; Qian, Z.; Pei, Y. 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/30 Alarm systems Cost reduction Data acquisition Decision trees Failure analysis Health Maintenance Wind power Wind turbines Condition based maintenance Health indicators Maintenance strategies Operation and maintenance pitch system Random forests Regression-based model Supervisory control and data acquisition Condition monitoring
	Wind Turbine Condition Monitoring Using SCADA Data and Data Mining Method 会议论文 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings, 2018-11-06 作者: Pei, Y.; Qian, Z.; Tao, S.; Yu, H. 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/30 Anomaly detection Condition monitoring Cost reduction Data handling Feature extraction Outages Statistics Wind power Wind turbines Automatic relevance determination Data mining algorithm Data mining methods Feature vectors Operation conditions Operation maintenance Outlier detection algorithm Wind turbine reliabilities Data mining
	On-line Monitoring of Tool Wear Conditions in Machining Processes Based on Machine Tool Data [基于机床信息的加工过程刀具磨损状态在线监测] 期刊论文 Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2019, 卷号: 30, 页码: 220-225 作者: Lu, Z.; Ma, P.; Xiao, J.; Wang, M.; Tang, X. 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/30 Computer architecture Condition monitoring Convolution Data acquisition Lime Machine tools Machining Machining centers Neural networks Voltage measurement Wear of materials Convolutional neural network Online monitoring Process information Recognition models Tool condition monitoring Tool wear Tool wear condition monitoring Unified architecture Cutting tools
	Review of Machining Equipment Reliability Analysis Methods based on Condition Monitoring Technology 期刊论文 APPLIED SCIENCES-BASEL, 2019, 卷号: 9 作者: Dai, Wei; Sun, Jiahuan; Chi, Yongjiao; Lu, Zhiyuan; Xu, Dong 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 machining equipment reliability condition monitoring technology multi-sourceinformation
	Model-Based Condition Monitoring of a Vanadium Redox Flow Battery 期刊论文 ENERGIES, 2019, 卷号: 12 作者: Meng, Shujuan; Xiong, Binyu; Lim, Tuti Mariana 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/30 state of charge capacity decay parameter identification condition monitoring vanadium redox flow battery
	Opportunistic maintenance of production systems subject to random wait time and multiple control limits 期刊论文 JOURNAL OF MANUFACTURING SYSTEMS, 2018, 卷号: 47, 页码: 12-34 作者: Yang, Li; Zhao, Yu; Peng, Rui; Ma, Xiaobing 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Condition-based maintenance Production wait Condition monitoring Opportunistic maintenance Regular maintenance
	Mutual interference effect of a rosette eddy current array sensor for quantitative crack monitoring in metallic structures 期刊论文 INSIGHT, 2018, 卷号: 60, 页码: 495-500 作者: Li, Peiyuan; Cheng, Li; He, Yuting; Du, Jinqiang; Jiao, Shengbo 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 eddy currents sensors condition monitoring failure diagnosis fatigue
	A Data-Driven Approach for Condition Monitoring of Wind Turbine Pitch Systems 期刊论文 ENERGIES, 2018, 卷号: 11 作者: Yang, Cong; Qian, Zheng; Pei, Yan; Wei, Lu 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 pitch system condition monitoring SVR feature selection control chart
	Fault diagnosis of gearbox based on the nonlinear output frequency response functions and PNN 会议论文 Vibroengineering Procedia 作者: Zhang, X.; Wang, Z.; Lu, C. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Condition monitoring Failure analysis Frequency response Gears Neural networks Abnormal conditions Complex nonlinear system Feature extraction methods Frequency domain approaches Gearbox Non-linear output frequency response function Probabilistic neural networks The NOFRFs Fault detection
	Digital twin driven prognostics and health management for complex equipment 期刊论文 CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2018, 卷号: 67, 页码: 169-172 作者: Tao, Fei; Zhang, Meng; Liu, Yushan; Nee, A. Y. C. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Maintenance Condition monitoring Digital twin

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