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A Low-Delay Lightweight Recurrent Neural Network (LLRNN) for Rotating Machinery Fault Diagnosis

Fault diagnosis is critical to ensuring the safety and reliable operation of rotating machinery systems. Long short-term memory networks (LSTM) have received a great deal of attention in this field. Most of the LSTM-based fault diagnosis methods have too many parameters and calculation, resulting in...

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Bibliographische Detailangaben
Veröffentlicht in:Sensors (Basel)
Hauptverfasser: Liu, Wenkai, Guo, Ping, Ye, Lian
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI 2019
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6679287/
https://ncbi.nlm.nih.gov/pubmed/31337108
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19143109
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