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	Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions 期刊论文 RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 242, 页码: 13 作者: Li, Yuan; Li, Jingwei; Wang, Huanjie; Liu, Chengbao; Tan, Jie 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/02/22 Remaining useful life Ensemble learning Attention mechanism Convolutional neural network Transfer learning
	A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 期号: *, 页码: 1-14 作者: Hou X(侯旭); Du FJ(杜福嘉); Huang K(黄康) 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/03/18 Comb filter kernel(CF-kernel) motor current signal analysis convolutional neural network(CNN) fault diagnosis limited training sample
	Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文 JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18 作者: Wang, Huanjie; Li, Yuan; Bai, Xiwei; Li, Jingwei; Tan, Jie 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/17 Intelligent diagnosis Rotating machinery Label propagation Subpopulation shift Unsupervised domain adaptation
	A remaining useful life prediction method based on time–frequency images of the mechanical vibration signals 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 202 作者: Du, Xianjun; Jia, Wenchao; Yu, Ping; Shi, Yaoke; Cheng, Shengyi 收藏 \| 浏览/下载：29/0 \| 提交时间：2022/09/22 Convolution Forecasting Preventive maintenance Rotating machinery Vibrations (mechanical) Wavelet transforms Attention mechanisms Continuous Wavelet Transform Convolutional neural network Degradation trend Feature map Remaining useful life predictions Rolling bearings Spectral feature Time frequency Time–frequency spectral feature map
	Cross-Level fusion for rotating machinery fault diagnosis under compound variable working conditions 期刊论文 MEASUREMENT, 2022, 卷号: 199, 页码: 7 作者: Wang, Sihan; Wang, Dazhi; Kong, Deshan; Li, Wenhui; Wang, Huanjie 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/07/25 Intelligent fault diagnosis Few-shot learning Anti-noise Compound faults Working condition variation
	Few-shot multiscene fault diagnosis of rolling bearing under compound variable working conditions 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2022, 页码: 12 作者: Wang, Sihan; Wang, Dazhi; Kong, Deshan; Li, Wenhui; Wang, Jiaxing 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/07/25
	Adversarial domain adaptation convolutional neural network for intelligent recognition of bearing faults 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 195 作者: Wu, Yaochun; Zhao, Rongzhen; Ma, Hongru; He, Qiang; Du, Shaohua 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/04/21 Convolution Machinery Bearing Bearing fault Convolutional neural network Domain adaptation Fault recognition Intelligent fault recognition Intelligent recognition Recognition methods Target domain Varying working conditions
	Health condition monitoring of bearings based on multifractal spectrum feature with modified empirical mode decomposition-multifractal detrended fluctuation analysis 期刊论文 STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2022 作者: Chen, Guangyi; Yan, Changfeng; Meng, Jiadong; Wang, Zonggang; Wu, Lixiao 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/03/01 Empirical mode decomposition-multifractal detrended fluctuation analysis scaling exponent health condition monitoring step-moving window multifractal spectrum feature deterministic random separation
	Remaining Useful Life prediction of rolling bearings based on risk assessment and degradation state coefficient 期刊论文 ISA Transactions, 2022 作者: Li, Qiang; Yan, Changfeng; Chen, Guangyi; Wang, Huibin; Li, Hongkun 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/07/20 Condition based maintenance Economic and social effects Forecasting Frequency domain analysis Genetic algorithms Health Health risks Roller bearings Singular value decomposition Degradation state Degradation state coefficient Genetic algorithm-support vector regression Health indicators Mode decomposition Modified health indicator Remaining useful lives Risks assessments Support vector regressions Variational mode decomposition-singular value decomposition
	Fault diagnosis based on SPBO-SDAE and transformer neural network for rotating machinery 期刊论文 MEASUREMENT, 2022, 卷号: 188 作者: Du, Xianjun; Jia, Liangliang; Ul Haq, Izaz 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/03/01 Fault diagnosis Rotating machinery Hyper parameter optimization Feature self-extraction Transformer neural network Self attention mechanism

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