Fault severity identification of roller bearings using flow graph and non-naive Bayesian inference

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

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

Planetary gearbox fault diagnosis based on data-driven valued characteristic multigranulation model with incomplete diagnostic information

(2018) Jun Yu et al.   JOURNAL OF SOUND AND VIBRATION

Non-stationary vibration feature extraction method based on sparse decomposition and order tracking for gearbox fault diagnosis

(2018) Yongzhuo Li et al.   MEASUREMENT

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on the application of deep learning in system health management

(2018) Samir Khan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on data-driven fault severity assessment in rolling bearings

(2018) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing

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

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

(2018) Wu Deng et al.   IEEE Access

Study on a Novel Fault Damage Degree Identification Method Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy

(2018) Huimin Zhao et al.   Entropy

An adaptive deep convolutional neural network for rolling bearing fault diagnosis

(2017) Wang Fuan et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Doppler distortion correction based on microphone array and matching pursuit algorithm for a wayside train bearing monitoring system

(2017) Xingchen Liu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Diagnosis of combined faults in Rotary Machinery by Non-Naive Bayesian approach

(2017) Mahsa Yazdanian Asr et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Granular Flow Graph, Adaptive Rule Generation and Tracking

(2017) Sankar Kumar Pal et al.   IEEE Transactions on Cybernetics

A New Feature Extraction Method Based on EEMD and Multi-Scale Fuzzy Entropy for Motor Bearing

(2016) Huimin Zhao et al.   Entropy

Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis

(2016) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Enhanced fault diagnosis of roller bearing elements using a combination of empirical mode decomposition and minimum entropy deconvolution

(2016) Z Zhang et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Optimal resonance-based signal sparse decomposition and its application to fault diagnosis of rotating machinery

(2016) Dingcheng Zhang et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

A review of wind turbine bearing condition monitoring: State of the art and challenges

(2016) Henrique Dias Machado de Azevedo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

Smoothness index-guided Bayesian inference for determining joint posterior probability distributions of anti-symmetric real Laplace wavelet parameters for identification of different bearing faults

(2015) Dong Wang et al.   JOURNAL OF SOUND AND VIBRATION

Machine health prognostics using the Bayesian-inference-based probabilistic indication and high-order particle filtering framework

(2015) Jianbo Yu   JOURNAL OF SOUND AND VIBRATION

Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

(2015) Jaouher Ben Ali et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Intelligent fault diagnosis of rotating machinery using support vector machine with ant colony algorithm for synchronous feature selection and parameter optimization

(2015) XiaoLi Zhang et al.   NEUROCOMPUTING

Combined flow graphs and normal naive Bayesian classifier for fault diagnosis of gear box

(2015) Jun Yu et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Early damage detection of roller bearings using wavelet packet decomposition, ensemble empirical mode decomposition and support vector machine

(2014) A. Tabrizi et al.   MECCANICA

Prognosis of Bearing Failures Using Hidden Markov Models and the Adaptive Neuro-Fuzzy Inference System

(2013) Abdenour Soualhi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis

(2013) Yu-Lin He et al.   INFORMATION SCIENCES

Multi-fault diagnosis study on roller bearing based on multi-kernel support vector machine with chaotic particle swarm optimization

(2013) Fafa Chen et al.   MEASUREMENT

Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes

(2013) Xi-Zhao Wang et al.   IEEE Transactions on Cybernetics

Exploring the preference of customers between financial companies and agents based on TCA

(2011) Sheng-Kai Fang et al.   KNOWLEDGE-BASED SYSTEMS

EEMD method and WNN for fault diagnosis of locomotive roller bearings

(2010) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Combined rough set theory and flow network graph to predict customer churn in credit card accounts

(2010) Chiun-Sin Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Combined rough sets with flow graph and formal concept analysis for business aviation decision-making

(2009) Yu-Ping Ou Yang et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS