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科研机构

兰州理工大学 [7]

沈阳自动化研究所 [3]

自动化研究所 [2]

力学研究所 [1]

计算技术研究所 [1]

心理研究所 [1]

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期刊论文 [15]

会议论文 [1]

学位论文 [1]

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2021 [17]

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发表日期：2021

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	Fast Fault Diagnosis System Based on Data Mining AR Algorithm 会议论文 Nanjing, China, 2021-10 作者: Yu Yahan; Du Juan; Ren Guanghao; Tan Yao; Wang Jian 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/06/02
	State indicators of anaerobic digestion: A critical review on process monitoring and diagnosis 期刊论文 RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 卷号: 148, 页码: 15 作者: Wu, Di; Li, Lei; Peng, Yun; Yang, Pingjin; Peng, Xuya 收藏 \| 浏览/下载：48/0 \| 提交时间：2021/10/27 Anaerobic digestion Biogas Early warning Process instability Process monitoring State indicators
	A segmented load spectrum model for high-speed trains and its inflection stress as an indicator for line quality 期刊论文 INTERNATIONAL JOURNAL OF FATIGUE, 2021, 卷号: 148, 页码: 12 作者: Yuan, Zheng; Chen, Xianjia; Ma, Lijun; Li, Qiang; Sun, Shouguang 收藏 \| 浏览/下载：169/0 \| 提交时间：2021/06/15 Load spectrum Segmented Weibull distribution Bogie frame High-speed train Inflection stress
	Rotor fault diagnosis based on semi-supervised neighborhood adaptive orthogonal discriminant projection 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2021, 卷号: 40, 期号: 10, 页码: 159-165 作者: Chang, Shuyuan; Zhao, Rongzhen; Shi, Mingkuan 收藏 \| 浏览/下载：5/0 \| 提交时间：2022/02/17 Failure analysis Frequency domain analysis Pattern recognition Support vector machines Time domain analysis Fault identifications Frequency domains Generalization ability Low dimensional Neighborhood parameter Rotor fault diagnosis Time frequency domain Vibration signal
	Fault Monitoring Method of Wind Turbine Main Bearing 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 341-347 and 415 作者: Zheng, Yuqiao; Wei, Jianfeng; Zhu, Kai; Dong, Bo 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/02/17 Bearings (machine parts) Forecasting Linear regression Monitoring Sliding mode control Statistics Support vector machines Support vector regression Wind turbines Change of temperatures Combination forecasting models Determination coefficients Mean and standard deviations Multiple linear regression models Multivariate linear regression model Sliding window methods Support vector machine regressions
	Mechanical Fault Diagnosis Method Based on Multi-sensor Signal Feature Fusion Using Deep Convolutional Neural Network 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 362-369 and 416 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; He, Tianjing; Wu, Jie 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/02/17 Complex networks Convolution Convolutional neural networks Deep neural networks Failure analysis Fault detection Fault classification Feature representation Hierarchical fusions Mechanical fault diagnosis Multi-sensor information fusion Multisensor data fusion One-dimensional features Softmax regressions
	Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network 期刊论文 Applied Intelligence, 2021, 卷号: 51, 期号: 4, 页码: 2144-2160 作者: Wu, Yaochun; Zhao, Rongzhen; Jin, Wuyin; He, Tianjing; Ma, Sencai 收藏 \| 浏览/下载：3/0 \| 提交时间：2021/06/03 Convolution Deep learning Failure analysis Fault detection Learning systems Roller bearings Semi-supervised learning Vibration analysis Class probabilities Diagnosis performance Intelligent fault diagnosis Inter-class distance Learning methods Maximum margin criterions Rolling bearings Vibration signal
	Breath-, air- and surface-borne SARS-CoV-2 in hospitals 期刊论文 JOURNAL OF AEROSOL SCIENCE, 2021, 卷号: 152 作者: Zhou, Lian; Yao, Maosheng; Zhang, Xiang; Hu, Bicheng; Li, Xinyue 收藏 \| 浏览/下载：53/0 \| 提交时间：2021/03/15 COVID-19 SARS-CoV-2 Exhaled breath Airborne transmission Surface-borne
	Initial fault time estimation of rolling element bearing by backtracking strategy, improved VMD and infogram 期刊论文 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2021, 卷号: 35, 期号: 2, 页码: 425-437 作者: Babiker, Abdalla; Yan, Changfeng; Li, Qiang; Meng, Jiadong; Wu, Lixiao 收藏 \| 浏览/下载：8/0 \| 提交时间：2021/03/12 EMPIRICAL MODE DECOMPOSITION FEATURE-EXTRACTION SPECTRAL KURTOSIS DIAGNOSIS KURTOGRAM SPEED
	A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593 作者: Zhao-Hua Liu 收藏 \| 浏览/下载：13/0 \| 提交时间：2021/07/20 Deep learning fault diagnosis fault prognosis long and short time memory network (LSTM) rolling bearing rotating machinery regularization remaining useful life prediction (RUL) recurrent neural network (RNN)

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