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Fault Diagnosis for Rotating Machinery with Scarce Labeled Samples: A Deep CNN Method Based on Knowledge-Transferring from Shallow Models.
Jing Zhang
Deqing Zhang
Mingyue Yang
Xiaobin Xu
Weifeng Liu
Chenglin Wen
Published in:
ICCAIS (2018)
Keyphrases
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fault diagnosis
rotating machinery
multi sensor information fusion
prior knowledge
expert systems
neural network
bp neural network
probabilistic model
fault detection
similarity measure
support vector
pairwise
unsupervised learning
fuzzy theory
information fusion
support vector machine svm
knowledge base