z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom