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Feature Extraction of Impulse Faults for Vibration Signals Based on Sparse Non-Negative Tensor Factorization

机译：基于稀疏非负张量分解的振动信号脉冲故障的特征提取

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Lin Liang; Haobin Wen; Fei Liu; Guang Li; Maolin Li;
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1. 含稀疏度约束的非负张量分解算法及其在故障诊断中的应用 [J] . 彭森, 许飞云, 贾民平, 东南大学学报（英文版） . 2009,第003期
2. Feature extraction for engine fault diagnosis utilizing the generalized S-transform and non-negative tensor factorization [J] . B Li, P-L Zhang, S-B Liang, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science . 2011,第8期

机译：利用广义S变换和非负张量因子分解的发动机故障诊断特征提取
3. Feature extraction for engine fault diagnosis utilizing the generalized S-transform and non-negative tensor factorization [J] . B. Li, P.-L. Zhang, S. B. Liang, Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science . 2011,第8期

机译：利用广义S变换和非负张量因子分解的发动机故障诊断特征提取
4. Noise Feature Extraction and Analysis of Silicone Oil Fan on Diesel Engine Based on Non-negative Tensor Factorization [J] . Xiaocong Meng, Xianglin Lu, Haijun Wang American Journal of Mathematical and Computational Sciences . 2020,第1期

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5. A feature extraction method for remnant particles based on non-negative tensor factorization in aerospace electronic equipments [C] . Chen Rui, Wang Shujuan, Zhai Guofu, Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International . 2012

机译：基于非负张量分解的航空电子设备残余粒子特征提取方法
6. Feature extraction of waveform signals for stamping process monitoring and fault diagnosis. [D] . Jin, Jionghua. 1999

机译：波形信号的特征提取，用于冲压过程监控和故障诊断。
7. A Novel Signal Separation Method Based on Improved Sparse Non-Negative Matrix Factorization [O] . Huaqing Wang, Mengyang Wang, Junlin Li, 2019

机译：一种基于改进稀疏非负矩阵分解的新型信号分离方法
8. Impulse Feature Extraction of Bearing Faults Based on Convolutive Nonnegative Matrix Factorization [O] . Lin Liang, Lei Shan, Fei Liu, 2020

机译：基于卷积非负矩阵分解的轴承故障脉冲特征提取

Feature Extraction of Impulse Faults for Vibration Signals Based on Sparse Non-Negative Tensor Factorization

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