Semi-supervised graph convolutional network and its application in intelligent fault diagnosis of rotating machinery

An intelligent fault diagnosis method for roller bearing using symplectic hyperdisk matrix machine

(2021) Haiyang Pan et al.   APPLIED SOFT COMPUTING

Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery

(2021) Haidong Shao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network

(2020) Dingcheng Zhang et al.   MEASUREMENT

Use of generalized refined composite multiscale fractional dispersion entropy to diagnose the faults of rolling bearing

(2020) Jinde Zheng et al.   NONLINEAR DYNAMICS

Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis

(2020) Xin Li et al.   KNOWLEDGE-BASED SYSTEMS

Symplectic weighted sparse support matrix machine for gear fault diagnosis

(2020) Xin Li et al.   MEASUREMENT

Nonlinear sparse mode decomposition and its application in planetary gearbox fault diagnosis

(2020) Haiyang Pan et al.   MECHANISM AND MACHINE THEORY

Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis

(2020) Tianfu Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

SOSO Boosting of the K-SVD Denoising Algorithm for Enhancing Fault-Induced Impulse Responses of Rolling Element Bearings

(2019) Ming Zeng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis of rolling bearings using weighted horizontal visibility graph and graph Fourier transform

(2019) Yiyuan Gao et al.   MEASUREMENT

Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network

(2018) Haidong Shao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Generalized composite multiscale permutation entropy and Laplacian score based rolling bearing fault diagnosis

(2018) Jinde Zheng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Graph Signal Processing: Overview, Challenges, and Applications

(2018) Antonio Ortega et al.   PROCEEDINGS OF THE IEEE

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

Comparison of four direct classification methods for intelligent fault diagnosis of rotating machinery

(2016) Dongyang Dou et al.   APPLIED SOFT COMPUTING

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

A new rolling bearing fault diagnosis method based on GFT impulse component extraction

(2016) Lu Ou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

K-nearest neighbors based methods for identification of different gear crack levels under different motor speeds and loads: Revisited

(2016) Dong Wang   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

(2013) D. I. Shuman et al.   IEEE SIGNAL PROCESSING MAGAZINE

Fault diagnosis method based on incremental enhanced supervised locally linear embedding and adaptive nearest neighbor classifier

(2013) Zuqiang Su et al.   MEASUREMENT

Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network

(2011) G.F. Bin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wavelets on graphs via spectral graph theory

(2010) David K. Hammond et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

Machinery fault diagnosis using supervised manifold learning

(2009) Quansheng Jiang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING