An audio-based intelligent fault diagnosis method for belt conveyor rollers in sand carrier
暂无分享,去创建一个
Minrui Fei | Yu-Long Wang | Chen Peng | ZhiPeng Li | Minjing Yang | M. Fei | Chen Peng | Zhipeng Li | Minjing Yang | Yulong Wang
[1] Zhenbo Li,et al. Vegetable Image Retrieval with Fine-tuning VGG Model and Image Hash , 2018 .
[2] Yuanyuan Wang,et al. Review on deep learning techniques for marine object recognition: Architectures and algorithms , 2020 .
[3] Zhencai Zhu,et al. Design of Online Monitoring and Fault Diagnosis System for Belt Conveyors Based on Wavelet Packet Decomposition and Support Vector Machine , 2013 .
[4] M FrankPaul. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancya survey and some new results , 1990 .
[5] Shuo Wang,et al. Overview of deep learning , 2016, 2016 31st Youth Academic Annual Conference of Chinese Association of Automation (YAC).
[6] Paul M. Frank,et al. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..
[7] Damiano Varagnolo,et al. Detecting broken rotor bars in induction motors with model-based support vector classifiers , 2016 .
[8] Ronald R. Coifman,et al. Entropy-based algorithms for best basis selection , 1992, IEEE Trans. Inf. Theory.
[9] Adrián Rodríguez Ramos,et al. An approach to fault diagnosis with online detection of novel faults using fuzzy clustering tools , 2018, Expert Syst. Appl..
[10] Ying Wang,et al. Recent advances in sensor fault diagnosis: A review , 2020 .
[11] Yongjun Sun,et al. Development of clustering-based sensor fault detection and diagnosis strategy for chilled water system , 2019, Energy and Buildings.
[12] Hongtao Sun,et al. Switching-Like Event-Triggered Control for Networked Control Systems Under Malicious Denial of Service Attacks , 2020, IEEE Transactions on Automatic Control.
[13] James R. Ottewill,et al. Fault detection and identification combining process measurements and statistical alarms , 2020 .
[14] Sam Kwong,et al. G-MS2F: GoogLeNet based multi-stage feature fusion of deep CNN for scene recognition , 2017, Neurocomputing.
[15] Bashariah Kamaruddin,et al. Valve stiction detection through improved pattern recognition using neural networks , 2019 .
[16] Hee-Jun Kang,et al. Rolling element bearing fault diagnosis based on non-local means de-noising and empirical mode decomposition , 2014 .
[17] Narasimhan Sundararajan,et al. A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation , 2005, IEEE Transactions on Neural Networks.
[18] Miroslaw J. Skibniewski,et al. Structural health monitoring and assessment using wavelet packet energy spectrum , 2019 .
[19] Jong-Myon Kim,et al. Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network , 2019, Comput. Ind..