A self-learning and self-optimizing framework for the fault diagnosis knowledge base in a workshop

Title
A self-learning and self-optimizing framework for the fault diagnosis knowledge base in a workshop
Authors
Keywords
Knowledge base, Semi-supervised multi-spatial manifold clustering, Generative adversarial network, Self-optimizing, Data-driven, Knowledge-driven
Journal
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
Volume 65, Issue -, Pages 101975
Publisher
Elsevier BV
Online
2020-04-08
DOI
10.1016/j.rcim.2020.101975

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