Searched for: subject:"Degradation"
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document
Liu, C. (author), Cheng, Gang (author), Chen, Xihui (author), Pang, Y. (author)
Given local weak feature information, a novel feature extraction and fault diagnosis method for planetary gears based on variational mode decomposition (VMD), singular value decomposition (SVD), and convolutional neural network (CNN) is proposed. VMD was used to decompose the original vibration signal to mode components. The mode matrix was...
journal article 2018
document
Faghih Roohi, S. (author), Hajizadeh, S. (author), Nunez Vicencio, A.A. (author), Babuska, R. (author), De Schutter, B.H.K. (author)
In this paper, we propose a deep convolutional neural network solution to the analysis of image data for the detection of rail surface defects. The images are obtained from many hours of automated video recordings. This huge amount of data makes it impossible to manually inspect the images and detect rail surface defects. Therefore, automated...
conference paper 2016