共 31 条
A Method for Predicting the Remaining Life of Rolling Bearings Based on Multi-Scale Feature Extraction and Attention Mechanism
被引:11
作者:

Jiang, Changhong
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机构:
Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China

Liu, Xinyu
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机构:
Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China

Liu, Yizheng
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h-index: 0
机构:
Jilin Prov Dengxi Technol Co Ltd, Changchun 130022, Peoples R China Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China

Xie, Mujun
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h-index: 0
机构:
Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China

Liang, Chao
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h-index: 0
机构:
Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China

Wang, Qiming
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h-index: 0
机构:
Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China
机构:
[1] Changchun Univ Technol, Sch Elect & Elect Engn, Changchun 130000, Peoples R China
[2] Jilin Prov Dengxi Technol Co Ltd, Changchun 130022, Peoples R China
来源:
关键词:
rolling bearing;
residual life prediction;
multi-scale feature extraction;
attention mechanism;
CONVOLUTIONAL NEURAL-NETWORK;
RECOGNITION;
D O I:
10.3390/electronics11213616
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
In response to the problems of difficult identification of degradation stage start points and inadequate extraction of degradation features in the current rolling bearing remaining life prediction method, a rolling bearing remaining life prediction method based on multi-scale feature extraction and attention mechanism is proposed. Firstly, this paper takes the normalized bearing vibration signal as input and adopts a quadratic function as the RUL prediction label, avoiding identifying the degradation stage start point. Secondly, the spatial and temporal features of the bearing vibration signal are extracted using the dilated convolutional neural network and LSTM network, respectively, and the channel attention mechanism is used to assign weights to each degradation feature to effectively use multi-scale information. Finally, the mapping of bearing degradation features to remaining life labels is achieved through a fully connected layer for the RUL prediction of bearings. The proposed method is validated using the PHM 2012 Challenge bearing dataset, and the experimental results show that the predictive performance of the proposed method is superior to that of other RUL prediction methods.
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页数:16
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