Dual Stage Learning Based Dynamic Time-Frequency Mask Generation for Audio Event Classification

Author(s):  
Donghyeon Kim ◽  
Jaihyun Park ◽  
David K. Han ◽  
Hanseok Ko
2019 ◽  
Vol 39 (3) ◽  
pp. 1672-1687
Author(s):  
Ian McLoughlin ◽  
Zhipeng Xie ◽  
Yan Song ◽  
Huy Phan ◽  
Ramaswamy Palaniappan

2021 ◽  
Vol 63 (8) ◽  
pp. 465-471
Author(s):  
Shang Zhiwu ◽  
Yu Yan ◽  
Geng Rui ◽  
Gao Maosheng ◽  
Li Wanxiang

Aiming at the local fault diagnosis of planetary gearbox gears, a feature extraction method based on improved dynamic time warping (IDTW) is proposed. As a calibration matching algorithm, the dynamic time warping method can detect the differences between a set of time-domain signals. This paper applies the method to fault diagnosis. The method is simpler and more intuitive than feature extraction methods in the frequency domain and the time-frequency domain, avoiding their limitations and disadvantages. Due to the shortcomings of complex calculation, singularity and poor robustness, the paper proposes an improved method. Finally, the method is verified by envelope spectral feature analysis and the local fault diagnosis of gears is realised.


PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0182309 ◽  
Author(s):  
Ian McLoughlin ◽  
Haomin Zhang ◽  
Zhipeng Xie ◽  
Yan Song ◽  
Wei Xiao ◽  
...  

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