Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis:
An Open Source Benchmark Study

Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study

6 March 2020

Papers citing "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

18 / 18 papers shown

Title
FEMSN: Frequency-Enhanced Multiscale Network for fault diagnosis of rotating machinery under strong noise environments Yuhan Yuan Xiaomo Jiang Yanfeng Han Ke Xiao 24 0 0 07 May 2025
PNN: A Novel Progressive Neural Network for Fault Classification in Rotating Machinery under Small Dataset Constraint Praveen Chopra Himanshu Kumar Sandeep Yadav AI4CE 60 0 0 24 Mar 2025
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks Govind Vashishtha Sumika Chauhan Mert Sehri Justyna Hebda-Sobkowicz Radoslaw Zimroz Patrick Dumond Rajesh Kumar AI4CE 51 9 0 12 Feb 2025
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments Edward Mohamed Ragab Yuecong Xu Min-man Wu Yuecong Xu Zhenghua Chen Abdulla Alseiari Xiaoli Li 30 2 0 24 Jul 2024
CAFO: Feature-Centric Explanation on Time Series Classification Jaeho Kim S. Hahn Yoontae Hwang Junghye Lee Seulki Lee AI4TS 31 1 0 03 Jun 2024
Interpreting What Typical Fault Signals Look Like via Prototype-matching Qian Chen Xingjian Dong Zhike Peng 30 3 0 11 Mar 2024
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis Florent Forest Olga Fink 25 0 0 05 Dec 2023
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts Thomas Decker Michael Lebacher Volker Tresp FAtt 18 2 0 17 Oct 2023
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression Xin Zhu Daoguang Yang Hongyi Pan Hamid Reza Karimi Didem Ozevin Ahmet Enis Cetin 16 14 0 04 Oct 2023
A Closer Look at Bearing Fault Classification Approaches Harika Abburi Tanya Chaudhary Haider Ilyas Lakshmi Manne Deepak Mittal Don Williams Derek Snaidauf Edward Bowen Balaji Veeramani 15 5 0 29 Sep 2023
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration Jing-Xiao Liao Shenghui Wei Chengyun Xie T. Zeng Jinwei Sun Shiping Zhang Xiaoge Zhang Fenglei Fan 8 14 0 31 Jul 2023
Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis Zixuan Wang Bo Qin Mengxuan Li Jian Zhang M. Butala Peng Peng Hongwei Wang 13 0 0 26 Jun 2023
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis Qian Chen Xingjian Dong Guowei Tu Dong Wang Baoxuan Zhao Zhike Peng AI4CE 13 66 0 05 Sep 2022
Controlled Generation of Unseen Faults for Partial and Open-Partial Domain Adaptation Katharina Rombach Gabriel Michau Prof. Dr. Olga Fink AI4CE 27 31 0 29 Apr 2022
Adversarial Attacks on Machinery Fault Diagnosis Jiahao Chen Diqun Yan AAML 14 0 0 06 Oct 2021
Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning Haoyi Fan Fengbin Zhang Yue Gao AI4TS 25 14 0 27 Nov 2020
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study Zhibin Zhao Qiyang Zhang Xiaolei Yu Chuang Sun Shibin Wang Ruqiang Yan Xuefeng Chen AI4CE 14 353 0 28 Dec 2019
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis Tianfu Li Zhibin Zhao Chuang Sun Li Cheng Xuefeng Chen Ruqaing Yan Ruize Gao 19 316 0 12 Nov 2019