One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery
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Moncef Gabbouj | Onur Avci | Serkan Kiranyaz | Sadok Sassi | Osama Abdeljaber | Abdelrahman Ibrahim | M. Gabbouj | S. Kiranyaz | Onur Avcı | Osama Abdeljaber | Sadok Sassi | A. Ibrahim
[1] Steven Verstockt,et al. Convolutional Neural Network Based Fault Detection for Rotating Machinery , 2016 .
[2] Onur Avci,et al. Nonparametric structural damage detection algorithm for ambient vibration response: utilizing artificial neural networks and self-organizing maps , 2016 .
[3] Onur Avci,et al. A Comparative Assessment of Nonlinear State Estimation Methods for Structural Health Monitoring , 2015 .
[4] Chang Ouk Kim,et al. A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes , 2017, IEEE Transactions on Semiconductor Manufacturing.
[5] D. Inman,et al. Vibration annoyance assessment of train induced excitations from tunnels embedded in rock. , 2020, The Science of the total environment.
[6] Robert X. Gao,et al. Wavelets for fault diagnosis of rotary machines: A review with applications , 2014, Signal Process..
[7] Sandeep S. Udmale,et al. Role of artificial intelligence in rotor fault diagnosis: a comprehensive review , 2020, Artificial Intelligence Review.
[8] Onur Avci,et al. Convolutional Neural Networks for Real-Time and Wireless Damage Detection , 2019, Conference Proceedings of the Society for Experimental Mechanics Series.
[9] Michael D. Todd,et al. A Bayesian recursive framework for ball-bearing damage classification in rotating machinery , 2016 .
[10] Hongkai Jiang,et al. An adaptive deep convolutional neural network for rolling bearing fault diagnosis , 2017 .
[11] Onur Avci,et al. Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks , 2018, Journal of Sound and Vibration.
[12] Moncef Gabbouj,et al. Convolutional Neural Networks for patient-specific ECG classification , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[13] Onur Avci,et al. Damage detection using enhanced multivariate statistical process control technique , 2016, 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
[14] Onur Avci,et al. A numerical and experimental investigation of a special type of floating-slab tracks , 2020 .
[15] Onur Avci,et al. Recent Issues on Stadium Monitoring and Serviceability: A Review , 2016 .
[16] Giansalvo Cirrincione,et al. Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks , 2013, IEEE Transactions on Industrial Electronics.
[17] Boualem Boashash,et al. 1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data , 2018, Neurocomputing.
[18] K. Loparo,et al. Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling : A method for bearing prognostics , 2007 .
[19] S. H. Upadhyay,et al. Comparison between Artificial Neural Network and Support Vector Method for a Fault Diagnostics in Rolling Element Bearings , 2016 .
[20] Moncef Gabbouj,et al. Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks , 2019, IEEE Transactions on Industrial Electronics.
[21] Jianjun Hu,et al. An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis , 2017, Sensors.
[22] Kang-Hyun Jo,et al. Intelligent Computing Theories and Application , 2017, Lecture Notes in Computer Science.
[23] Moncef Gabbouj,et al. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks , 2017 .
[24] Gaoliang Peng,et al. A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load , 2018, Mechanical Systems and Signal Processing.
[25] Onur Avci,et al. Quantification of Structural Damage with Self-Organizing Maps , 2016 .
[26] Onur Avci,et al. Fault Detection and Severity Identification of Ball Bearings by Online Condition Monitoring , 2019, IEEE Transactions on Industrial Electronics.
[27] Balbir S. Dhillon,et al. Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network , 2012 .
[28] Satish C. Sharma,et al. Fault diagnosis of ball bearings using machine learning methods , 2011, Expert Syst. Appl..
[29] Liang Chen,et al. Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis , 2016 .
[30] Moncef Gabbouj,et al. Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks , 2016, IEEE Transactions on Industrial Electronics.
[31] Onur Avci,et al. 1D Convolutional Neural Networks and Applications: A Survey , 2019, Mechanical Systems and Signal Processing.
[32] Onur Avci,et al. A novel video-vibration monitoring system for walking pattern identification on floors , 2020, Adv. Eng. Softw..
[33] Jong-Myon Kim,et al. Speed Invariant Bearing Fault Characterization Using Convolutional Neural Networks , 2017, MIWAI.
[34] Qiang Zhang,et al. Classification of ECG signals based on 1D convolution neural network , 2017, 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom).
[35] Gaoliang Peng,et al. Bearings Fault Diagnosis Based on Convolutional Neural Networks with 2-D Representation of Vibration Signals as Input , 2017 .
[36] Enrico Zio,et al. Artificial intelligence for fault diagnosis of rotating machinery: A review , 2018, Mechanical Systems and Signal Processing.
[37] Hee-Jun Kang,et al. Convolutional Neural Network Based Bearing Fault Diagnosis , 2017, ICIC.
[38] Levent Eren,et al. Bearing Fault Detection by One-Dimensional Convolutional Neural Networks , 2017 .
[39] Boualem Boashash,et al. Efficiency Validation of One Dimensional Convolutional Neural Networks for Structural Damage Detection Using A SHM Benchmark Data , 2018 .
[40] Onur Avci,et al. 1-D Convolutional Neural Networks for Signal Processing Applications , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[41] Onur Avci,et al. Structural Damage Detection in Real Time: Implementation of 1D Convolutional Neural Networks for SHM Applications , 2017 .
[42] Yaguo Lei,et al. Applications of machine learning to machine fault diagnosis: A review and roadmap , 2020 .
[43] Michael J. Roan,et al. A NEW, NON-LINEAR, ADAPTIVE, BLIND SOURCE SEPARATION APPROACH TO GEAR TOOTH FAILURE DETECTION AND ANALYSIS , 2002 .
[44] Onur Avci,et al. Vibrations Assessment of Existing Building Foundations Due to Moving Trains in Underground Tunnels , 2020 .