A new approach to health condition identification of rolling bearing using hierarchical dispersion entropy and improved Laplacian score

Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score

(2020) Xiaoan Yan et al.   COMPLEXITY

Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions

(2020) Xiaoan Yan et al.   KNOWLEDGE-BASED SYSTEMS

Refined composite multiscale fuzzy entropy: Localized defect detection of rolling element bearing

(2019) Yongjian Li et al.   Journal of Mechanical Science and Technology

A Sparse Autoencoder and Softmax Regression Based Diagnosis Method for the Attachment on the Blades of Marine Current Turbine

(2019) Yilai Zheng et al.   SENSORS

A bearing fault and severity diagnostic technique using adaptive deep belief networks and Dempster–Shafer theory

(2019) Kun Yu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings

(2019) David Benjamin Verstraete et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Gearbox Fault Diagnosis Based on Hierarchical Instantaneous Energy Density Dispersion Entropy and Dynamic Time Warping

(2019) Guiji Tang et al.   Entropy

Research on an enhanced scale morphological-hat product filtering in incipient fault detection of rolling element bearings

(2019) Xiaoan Yan 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

A fault diagnosis scheme for planetary gearboxes using adaptive multi-scale morphology filter and modified hierarchical permutation entropy

(2018) Yongbo Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing

(2018) Xiaoan Yan et al.   NEUROCOMPUTING

A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing

(2018) Wu Deng et al.   IEEE Access

Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection

(2018) Xiaoan Yan et al.   KNOWLEDGE-BASED SYSTEMS

A novel intelligent detection method for rolling bearing based on IVMD and instantaneous energy distribution-permutation entropy

(2018) Xiaoan Yan et al.   MEASUREMENT

Bayesian multi-task learning methodology for reconstruction of structural health monitoring data

(2018) Hua-Ping Wan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Application of dispersion entropy to status characterization of rotary machines

(2018) Mostafa Rostaghi et al.   JOURNAL OF SOUND AND VIBRATION

A Novel Method for Multi-Fault Feature Extraction of a Gearbox under Strong Background Noise

(2017) Zhijian Wang et al.   Entropy

Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals

(2017) Hamed Azami et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A rolling bearing fault diagnosis strategy based on improved multiscale permutation entropy and least squares SVM

(2017) Yongjian Li et al.   Journal of Mechanical Science and Technology

A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

(2017) Luyang Jing et al.   MEASUREMENT

Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery

(2017) Yumei Qi et al.   IEEE Access

Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings

(2016) Hamed Azami et al.   Biomedical Signal Processing and Control

Dispersion Entropy: A Measure for Time-Series Analysis

(2016) Mostafa Rostaghi et al.   IEEE SIGNAL PROCESSING LETTERS

Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis

(2016) Jing Tian et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Diagnosis of compound faults of rolling bearings through adaptive maximum correlated kurtosis deconvolution

(2016) Guiji Tang et al.   Journal of Mechanical Science and Technology

An intelligent fault diagnosis model for rotating machinery based on multi-scale higher order singular spectrum analysis and GA-VPMCD

(2016) Songrong Luo et al.   MEASUREMENT

Hybrid modified evolutionary particle swarm optimisation-time varying acceleration coefficient-artificial neural network for power transformer fault diagnosis

(2016) Hazlee Azil Illias et al.   MEASUREMENT

A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree

(2016) Yongbo Li et al.   MEASUREMENT

Hierarchical fuzzy entropy and improved support vector machine based binary tree approach for rolling bearing fault diagnosis

(2016) Yongbo Li et al.   MECHANISM AND MACHINE THEORY

Refined Composite Multiscale Permutation Entropy to Overcome Multiscale Permutation Entropy Length Dependence

(2015) Anne Humeau-Heurtier et al.   IEEE SIGNAL PROCESSING LETTERS

A fault diagnosis method combined with LMD, sample entropy and energy ratio for roller bearings

(2015) Minghong Han et al.   MEASUREMENT

A rolling bearing fault diagnosis method based on multi-scale fuzzy entropy and variable predictive model-based class discrimination

(2014) Jinde Zheng et al.   MECHANISM AND MACHINE THEORY

Analysis of complex time series using refined composite multiscale entropy

(2014) Shuen-De Wu et al.   PHYSICS LETTERS A

A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithm

(2013) Keheng Zhu et al.   MEASUREMENT

A rolling bearing fault diagnosis approach based on LCD and fuzzy entropy

(2013) Jinde Zheng et al.   MECHANISM AND MACHINE THEORY

Real-time fault diagnosis for gas turbine generator systems using extreme learning machine

(2013) Pak Kin Wong et al.   NEUROCOMPUTING

Wavelets for fault diagnosis of rotary machines: A review with applications

(2013) Ruqiang Yan et al.   SIGNAL PROCESSING

Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine

(2012) Shuen-De Wu et al.   Entropy

Hierarchical entropy analysis for biological signals

(2011) Ying Jiang et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

An unsupervised heuristic-based hierarchical method for name disambiguation in bibliographic citations

(2010) Ricardo G. Cota et al.   JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY

An automotive generator fault diagnosis system using discrete wavelet transform and artificial neural network

(2009) Jian-Da Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS