Suchergebnisse - "Improved stack autoencoder"
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Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine
ISSN: 1530-437X, 1558-1748Veröffentlicht: New York IEEE 15.02.2021Veröffentlicht in IEEE sensors journal (15.02.2021)“… In recent years, autoencoder has been widely used for the fault diagnosis of mechanical equipment because of its excellent performance in feature extraction …”
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Intrusion Detection Model Based on SAE and BALSTM
Veröffentlicht: IEEE 28.06.2021Veröffentlicht in 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) (28.06.2021)“… , an intrusion detection model based on improved Stack autoencoder (SAE) and bidirectional feature attention short-time memory network (BALSTM) is proposed …”
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Research on a fault-diagnosis strategy of lithium iron phosphate battery in an energy-storage system based on multi-feature fusion
ISSN: 2352-152XVeröffentlicht: Elsevier Ltd 15.12.2024Veröffentlicht in Journal of energy storage (15.12.2024)“… The features such as improved stack autoencoder, improved standard deviation and improved Shannon entropy of the voltage sequences in a sliding-time window are mutually validated to identify open …”
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Automatic Recommendation Algorithm for Video Background Music Based on Deep Learning
ISSN: 1076-2787, 1099-0526Veröffentlicht: Hoboken Hindawi 2021Veröffentlicht in Complexity (New York, N.Y.) (2021)“… As one of the traditional entertainment items, video background music has gradually changed from traditional consumption to network consumption, which …”
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Digital Twin Inspired Intelligent Bearing Fault Diagnosis Method Based on Adaptive Correlation Filtering and Improved SAE Classification Model
ISSN: 1024-123X, 1563-5147Veröffentlicht: New York Hindawi 10.09.2022Veröffentlicht in Mathematical problems in engineering (10.09.2022)“… In this view, this paper proposes a digital twin inspired intelligent diagnosis method for bearing faults based on adaptive correlation filtering and an improved stack autoencoder (SAE …”
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Fault Diagnosis of Pitch System of Wind Turbine based on Improved Stacked Auto-Encoder Network
ISSN: 1582-5175, 2392-828XVeröffentlicht: Bucharest ICPE SA - Electra House of Publishing 01.07.2020Veröffentlicht in Electrotehnica, Electronica, Automatica (01.07.2020)“… In order to improve the accuracy of fault diagnosis of the wind turbine's pitch system, an improved stack autoencoder network is proposed …”
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