Suchergebnisse - "Improved stack autoencoder"

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  1. 1

    Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine von Cui, Mingliang, Wang, Youqing, Lin, Xinshuang, Zhong, Maiying

    ISSN: 1530-437X, 1558-1748
    Veröffentlicht: New York IEEE 15.02.2021
    Veröffentlicht 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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    Journal Article
  2. 2

    Intrusion Detection Model Based on SAE and BALSTM von Jiajia, Fan, Jiangfeng, Xu, Junfeng, Zhang

    Veröffentlicht: IEEE 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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  3. 3

    Research on a fault-diagnosis strategy of lithium iron phosphate battery in an energy-storage system based on multi-feature fusion von Wang, Hongzhe, Wei, Chengjun, Zhu, Tao, Zhang, Bingyao, Cheng, Fangjie, Guo, Zhipeng, Liao, Qiangqiang

    ISSN: 2352-152X
    Veröffentlicht: Elsevier Ltd 15.12.2024
    Veröffentlicht 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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    Journal Article
  4. 4

    Automatic Recommendation Algorithm for Video Background Music Based on Deep Learning von Kai, Hong

    ISSN: 1076-2787, 1099-0526
    Veröffentlicht: Hoboken Hindawi 2021
    Veröffentlicht 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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    Journal Article
  5. 5

    Digital Twin Inspired Intelligent Bearing Fault Diagnosis Method Based on Adaptive Correlation Filtering and Improved SAE Classification Model von Zhang, Wenhua, Liu, Zhifeng, Liao, Zhiqiang

    ISSN: 1024-123X, 1563-5147
    Veröffentlicht: New York Hindawi 10.09.2022
    Veröffentlicht 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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    Journal Article
  6. 6

    Fault Diagnosis of Pitch System of Wind Turbine based on Improved Stacked Auto-Encoder Network von Wang, Sihua, Wang, Tian, Zhou, Lijun, Zhou, Lijun, Chen, Tianyu, Wang, Yu

    ISSN: 1582-5175, 2392-828X
    Veröffentlicht: Bucharest ICPE SA - Electra House of Publishing 01.07.2020
    Veröffentlicht 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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