क्यूआर कोड

Research on a Bearing Fault Diagnosis Method Based on a CNN-LSTM-GRU Model

In view of the problem of the insufficient performance of deep learning models in time series prediction and poor comprehensive space–time feature extraction, this paper proposes a diagnostic method (CNN-LSTM-GRU) that integrates convolutional neural network (CNN), long short-term memory (LSTM) netw...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Kaixu Han, Wenhao Wang, Jun Guo
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI AG 2024-12-01
श्रृंखला:Machines
विषय:
convolutional neural network
long short-term memory network
gated recurrent unit (GRU)
fault diagnosis
rolling bearing
ऑनलाइन पहुंच:https://www.mdpi.com/2075-1702/12/12/927
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