Multi-layer neural network with deep belief network for gearbox fault diagnosis [PDF]
, 2015 Identifying gearbox damage categories, especially for early faults and combined faults, is a challenging task in gearbox fault diagnosis. This paper presents multiple classifiers based on multi-layer neural networks (MLNN) to implement vibration signals ...
Chuan Li +2 more
core
Research on gearbox temperature field image fault diagnosis method based on transfer learning and deep belief network. [PDF]
Sci Rep, 2023 Lu X, Li P.
europepmc +1 more source
An automated system of intrusion detection by IoT-aided MQTT using improved heuristic-aided autoencoder and LSTM-based Deep Belief Network. [PDF]
PLoS One, 2023 Vijayan PM, Sundar S.
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A Deep Belief Network Based Approach for Bearing Fault Diagnosis
, 2017 Effective fault diagnosis techniques are crucial for normal and safe machinery operation. The development of data acquisition techniques allows for massive volumes of data to be collected and used for fault diagnostics and prognostics. The main challenge
Khaled Mohammad A Akkad (7959398)
core
Hourly Urban Water Demand Forecasting Using the Continuous Deep Belief Echo State Network
, 2019 Effective and accurate water demand prediction is an important part of the optimal scheduling of a city water supply system. A novel deep architecture model called the continuous deep belief echo state network (CDBESN) is proposed in this study for the ...
Zuqiang Long +4 more
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Lateral and Longitudinal Driving Behavior Prediction Based on Improved Deep Belief Network. [PDF]
Sensors (Basel), 2021 Yang L, Zhao C, Lu C, Wei L, Gong J.
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Quality Prediction of Fused Deposition Molding Parts Based on Improved Deep Belief Network. [PDF]
Comput Intell Neurosci, 2021 Dong H, Gao X, Wei M.
europepmc +1 more source
A Deep Belief Network Based Approach for Bearing Fault Diagnosis
, 2016 Effective fault diagnosis techniques are crucial for normal and safe machinery operation. The development of data acquisition techniques allows for massive volumes of data to be collected and used for fault diagnostics and prognostics. The main challenge
Khaled Mohammad A Akkad (7959398)
core
, 2019 Road surfaces experience fatigue stress and loading, which often lead to cracks on the surface. The cracks might cause serious damage, and therefore, early detection can reduce the road maintenance cost.
Jadidi, Zahra, Jo, Jun
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Bearing Fault Diagnosis of Hot-Rolling Mill Utilizing Intelligent Optimized Self-Adaptive Deep Belief Network with Limited Samples. [PDF]
Sensors (Basel), 2022 Peng R, Zhang X, Shi P.
europepmc +1 more source