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International Journal of Rail Transportation Volume 9, 2021 - Issue 4
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Original Articles

Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations

Dachuan ShiInstitute of Land and Sea Transport Systems, Technical University of Berlin, Berlin, GermanyCorrespondence[email protected]
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Yunguang YeInstitute of Land and Sea Transport Systems, Technical University of Berlin, Berlin, GermanyORCID Iconhttps://orcid.org/0000-0002-2921-8420View further author information
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Marco GillwaldInstitute of Land and Sea Transport Systems, Technical University of Berlin, Berlin, GermanyView further author information
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Markus HechtInstitute of Land and Sea Transport Systems, Technical University of Berlin, Berlin, GermanyView further author information
Pages 311-341 | Received 17 Mar 2020, Accepted 06 Jul 2020, Published online: 24 Jul 2020

Citations (12)

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Araliya Mosleh, Andreia Meixedo, Diogo Ribeiro, Pedro Montenegro & Rui Calçada. (2023) Automatic clustering-based approach for train wheels condition monitoring. International Journal of Rail Transportation 11:5, pages 639-664.
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Articles from other publishers (11)

Wenjie Fu, Qixin He, Qibo Feng, Jiakun Li, Fajia Zheng & Bin Zhang. (2023) Recent Advances in Wayside Railway Wheel Flat Detection Techniques: A Review. Sensors 23:8, pages 3916.
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Farah Muhammad, Muhammad Hussain & Hatim Aboalsamh. (2023) A Bimodal Emotion Recognition Approach through the Fusion of Electroencephalography and Facial Sequences. Diagnostics 13:5, pages 977.
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Zeineb Fki, Boudour Ammar & Mounir Ben Ayed. (2023) Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification. Cognitive Computation.
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Qing He, Faeze Ghofrani, Tianci Gao, Ping Wang, Chuan He, Yongle Li & Changfa Ai. (2022) Intelligent construction for the transportation infrastructure: a review. Intelligent Transportation Infrastructure 1.
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V. S. Vyplaven, S. A. Bekher, A. O. Kolomeets, A. A. Popkov & A. S. Kochetkov. (2022) REPRODUCIBILITY AND REPEATABILITY OF THE RESULTS OF STRAIN GAUGE CONTROL OF THE TREAD OF MOVING WAGON WHEELS. Journal of Applied Mechanics and Technical Physics 63:4, pages 721-730.
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Yunguang Ye, Bin Zhu, Ping Huang & Bo Peng. (2022) OORNet: A deep learning model for on-board condition monitoring and fault diagnosis of out-of-round wheels of high-speed trains. Measurement 199, pages 111268.
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Xuqi Liu, Zhenxing He, Yukui Wang, Lirong Yang, Haiyong Wang & Long Cheng. (2022) The Wheel Flat Identification Based on Variational Modal Decomposition—Envelope Spectrum Method of the Axlebox Acceleration. Applied Sciences 12:14, pages 6837.
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Dachuan Shi, Eldar Šabanovič, Luca Rizzetto, Viktor Skrickij, Roberto Oliverio, Nadia Kaviani, Yunguang Ye, Gintautas Bureika, Stefano Ricci & Markus Hecht. (2022) Deep learning based virtual point tracking for real-time target-less dynamic displacement measurement in railway applications. Mechanical Systems and Signal Processing 166, pages 108482.
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Xing Yang, Lei Shu, Kailiang Li, Zhiqiang Huo & Yu Zhang. (2022) SA1D-CNN: A Separable and Attention Based Lightweight Sensor Fault Diagnosis Method for Solar Insecticidal Lamp Internet of Things. IEEE Open Journal of the Industrial Electronics Society 3, pages 291-303.
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Mykola Sysyn, Michal Przybylowicz, Olga Nabochenko & Lei Kou. (2021) Identification of Sleeper Support Conditions Using Mechanical Model Supported Data-Driven Approach. Sensors 21:11, pages 3609.
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Véronique Gomes, Ana Mendes-Ferreira & Pedro Melo-Pinto. (2021) Application of Hyperspectral Imaging and Deep Learning for Robust Prediction of Sugar and pH Levels in Wine Grape Berries. Sensors 21:10, pages 3459.
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