A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine

Research on a Novel Improved Adaptive Variational Mode Decomposition Method in Rotor Fault Diagnosis

(2020) Xiaoan Yan et al.   Applied Sciences-Basel

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

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

Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis

(2019) Jimeng Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Nonfragile Integral-Based Event-Triggered Control of Uncertain Cyber-Physical Systems under Cyber‐Attacks

(2019) Shen Yan et al.   COMPLEXITY

Rotating Machinery Fault Diagnosis Based on Improved Multiscale Amplitude-Aware Permutation Entropy and Multiclass Relevance Vector Machine

(2019) Chen et al.   SENSORS

Detection of internal defect of apples by a multichannel Vis/NIR spectroscopic system

(2019) Yuping Huang et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Convolutional neural network-based hidden Markov models for rolling element bearing fault identification

(2018) Shuhui Wang et al.   KNOWLEDGE-BASED SYSTEMS

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

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

Rolling Bearing Fault Diagnosis Based on an Improved HTT Transform

(2018) et al.   SENSORS

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

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

Unsupervised fault diagnosis of rolling bearings using a deep neural network based on generative adversarial networks

(2018) Han Liu et al.   NEUROCOMPUTING

Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis

(2018) Haiyang Pan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Detection of Wind Turbine Sensors Using Artificial Neural Networks

(2018) Ayse Gokcen Kavaz et al.   Journal of Sensors

Application of CSA-VMD and optimal scale morphological slice bispectrum in enhancing outer race fault detection of rolling element bearings

(2018) Xiaoan Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Online sequential prediction of bearings imbalanced fault diagnosis by extreme learning machine

(2017) Wentao Mao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A fault diagnosis scheme for planetary gearboxes using modified multi-scale symbolic dynamic entropy and mRMR feature selection

(2017) Yongbo Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

(2017) Jinde Zheng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Measuring Complexity and Predictability of Time Series with Flexible Multiscale Entropy for Sensor Networks

(2017) Renjie Zhou et al.   SENSORS

Wheel-bearing fault diagnosis of trains using empirical wavelet transform

(2016) Hongrui Cao et al.   MEASUREMENT

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

(2016) Wenjun Sun et al.   MEASUREMENT

Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

(2016) Jinglong Chen et al.   RENEWABLE ENERGY

Weak Fault Feature Extraction of Rolling Bearings Based on an Improved Kurtogram

(2016) Xianglong Chen et al.   SENSORS

A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM

(2015) Xiaoyuan Zhang et al.   MEASUREMENT

A new wind turbine fault diagnosis method based on ensemble intrinsic time-scale decomposition and WPT-fractal dimension

(2015) Aijun Hu et al.   RENEWABLE ENERGY

Bearing Fault Diagnosis Based on Statistical Locally Linear Embedding

(2015) Xiang Wang et al.   SENSORS

Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal

(2015) Mariela Cerrada et al.   SENSORS

Bat algorithm: a novel approach for global engineering optimization

(2013) Xin‐She Yang et al.   ENGINEERING COMPUTATIONS

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

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

(2012) Shuen-De Wu et al.   Entropy

Application of the intrinsic time-scale decomposition method to fault diagnosis of wind turbine bearing

(2011) Xueli An et al.   JOURNAL OF VIBRATION AND CONTROL

Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines

(2011) Ruqiang Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multiclass Relevance Vector Machines: Sparsity and Accuracy

(2010) Ioannis Psorakis et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine

(2008) Achmad Widodo et al.   EXPERT SYSTEMS WITH APPLICATIONS