Výsledky vyhledávání - "stacked sparse autoencoder–based deep neural network"

Combustion stability monitoring through flame imaging and stacked sparse autoencoder based deep neural network Autor Han, Zhezhe, Hossain, Md. Moinul, Wang, Yuwei, Li, Jian, Xu, Chuanlong

“…•A novel deep learning model is established for predicting combustion stability.•Automatic generation of combustion stability label is achieved.•Quantitative…”
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Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network Autor Sohaib, Muhammad, Kim, Jong-Myon

“…Due to enhanced safety, cost-effectiveness, and reliability requirements, fault diagnosis of bearings using vibration acceleration signals has been a key area…”
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Construction of a Sensitive and Speed Invariant Gearbox Fault Diagnosis Model Using an Incorporated Utilizing Adaptive Noise Control and a Stacked Sparse Autoencoder-Based Deep Neural Network Autor Nguyen, Cong Dai, Prosvirin, Alexander E., Kim, Cheol Hong, Kim, Jong-Myon

“…Gearbox fault diagnosis based on the analysis of vibration signals has been a major research topic for a few decades due to the advantages of vibration…”
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Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning Autor Sun, Jiedi, Yan, Changhong, Wen, Jiangtao

“…Effective intelligent fault diagnosis has long been a research focus on the condition monitoring of rotary machinery systems. Traditionally, time-domain…”
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