Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed

Underwater target detection based on Faster R-CNN and adversarial occlusion network

(2021) Lingcai Zeng et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Ventilation Diagnosis of Angle Grinder Using Thermal Imaging

(2021) Adam Glowacz   SENSORS

A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery

(2021) Wanxiang Li et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A physics-informed deep learning approach for bearing fault detection

(2021) Sheng Shen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A CLSTM-TMN for marketing intention detection

(2020) Yufeng Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Blind filters based on envelope spectrum sparsity indicators for bearing and gear vibration-based condition monitoring

(2020) Cédric Peeters et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing defect size assessment using wavelet transform based Deep Convolutional Neural Network (DCNN)

(2020) Anil Kumar et al.   Alexandria Engineering Journal

Fault diagnosis based on the quantification of the fault features in a rotary machine

(2020) Jongsu Lee et al.   APPLIED SOFT COMPUTING

Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks

(2020) Zifei Xu et al.   APPLIED SOFT COMPUTING

Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions

(2020) Alexandre Mauricio et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Detection of Electric Impact Drills and Coffee Grinders Using Acoustic Signals

(2019) Adam Glowacz   SENSORS

A multi-perspective architecture for high-speed train fault diagnosis based on variational mode decomposition and enhanced multi-scale structure

(2019) Yunpu Wu et al.   APPLIED INTELLIGENCE

Intelligent fault diagnosis method of planetary gearboxes based on convolution neural network and discrete wavelet transform

(2019) Renxiang Chen et al.   COMPUTERS IN INDUSTRY

Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study

(2019) Xiukun Wei et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Rotor fault diagnosis using a convolutional neural network with symmetrized dot pattern images

(2019) Xiaoxun Zhu et al.   MEASUREMENT

Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network

(2019) Chunzhi Wu et al.   COMPUTERS IN INDUSTRY

Knowledge distilling based model compression and feature learning in fault diagnosis

(2019) Wenfeng Zhang et al.   APPLIED SOFT COMPUTING

The spectral amplitude modulation: A nonlinear filtering process for diagnosis of rolling element bearings

(2019) Ali Moshrefzadeh et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

(2019) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel deep learning method based on attention mechanism for bearing remaining useful life prediction

(2019) Yuanhang Chen et al.   APPLIED SOFT COMPUTING

Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform

(2019) Pengfei Liang et al.   COMPUTERS IN INDUSTRY

Bearing fault diagnosis under unknown time-varying rotational speed conditions via multiple time-frequency curve extraction

(2018) Huan Huang et al.   JOURNAL OF SOUND AND VIBRATION

A data indicator-based deep belief networks to detect multiple faults in axial piston pumps

(2018) Shuhui Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings

(2018) Jacek Wodecki et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel tracking deep wavelet auto-encoder method for intelligent fault diagnosis of electric locomotive bearings

(2018) Shao Haidong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A tacholess order tracking methodology based on a probabilistic approach to incorporate angular acceleration information into the maxima tracking process

(2018) S. Schmidt et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A positive energy residual (PER) based planetary gear fault detection method under variable speed conditions

(2018) Jungho Park et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A discrepancy analysis methodology for rolling element bearing diagnostics under variable speed conditions

(2018) Stephan Schmidt et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Walsh transform-based Teager energy operator demodulation method to detect faults in axial piston pumps

(2018) Qiang Gao et al.   MEASUREMENT

Machining vibration states monitoring based on image representation using convolutional neural networks

(2017) Yang Fu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

An adaptive and tacholess order analysis method based on enhanced empirical wavelet transform for fault detection of bearings with varying speeds

(2017) Yue Hu et al.   JOURNAL OF SOUND AND VIBRATION

Fault feature extraction based on combination of envelope order tracking and cICA for rolling element bearings

(2017) Tangfeng Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Adaptive artificial intelligence for automatic identification of defect in the angular contact bearing

(2017) Anil Kumar et al.   NEURAL COMPUTING & APPLICATIONS

Oscillatory behavior-based wavelet decomposition for the monitoring of bearing condition in centrifugal pumps

(2017) Anil Kumar et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY

Intelligent bearing fault signature extraction via iterative oscillatory behavior based signal decomposition (IOBSD)

(2016) Juanjuan Shi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Least Square Fitting for Adaptive Wavelet Generation and Automatic Prediction of Defect Size in the Bearing Using Levenberg–Marquardt Backpropagation

(2016) Anil Kumar et al.   JOURNAL OF NONDESTRUCTIVE EVALUATION

Fault diagnosis of motor bearing with speed fluctuation via angular resampling of transient sound signals

(2016) Siliang Lu et al.   JOURNAL OF SOUND AND VIBRATION

Time-Frequency Reassignment and Synchrosqueezing: An Overview

(2013) Francois Auger et al.   IEEE SIGNAL PROCESSING MAGAZINE

The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings

(2013) P. Borghesani et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Defect detection in deep groove ball bearing in presence of external vibration using envelope analysis and Duffing oscillator

(2012) V.N. Patel et al.   MEASUREMENT

Unsupervised learning of hierarchical representations with convolutional deep belief networks

(2011) Honglak Lee et al.   COMMUNICATIONS OF THE ACM

Synchrosqueezing-Based Recovery of Instantaneous Frequency from Nonuniform Samples

(2011) Gaurav Thakur et al.   SIAM JOURNAL ON MATHEMATICAL ANALYSIS