Industrial Robot Vibration Anomaly Detection Based on Sliding Window One-Dimensional Convolution Autoencoder
Author(s) -
Zhidan Zhong,
Yao Zhao,
Aoyu Yang,
Haobo Zhang,
Donghao Qiao,
Zhihui Zhang
Publication year - 2022
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/2022/1179192
Subject(s) - autoencoder , sliding window protocol , anomaly detection , artificial intelligence , computer science , convolution (computer science) , robot , pattern recognition (psychology) , kernel (algebra) , anomaly (physics) , vibration , generalization , convolutional neural network , industrial robot , algorithm , window (computing) , mathematics , artificial neural network , physics , acoustics , mathematical analysis , combinatorics , condensed matter physics , operating system
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