Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network

A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests

(2020) Qin Hu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis

(2020) Jianbo Yu et al.   KNOWLEDGE-BASED SYSTEMS

Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network

(2020) Pengfei Liang et al.   MEASUREMENT

Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains

(2020) Bo Zhao et al.   NEUROCOMPUTING

An enhanced convolutional neural network with enlarged receptive fields for fault diagnosis of planetary gearboxes

(2019) Yan Han et al.   COMPUTERS IN INDUSTRY

An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

(2019) Wenyi Huang et al.   NEUROCOMPUTING

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

(2019) Chunzhi Wu et al.   COMPUTERS IN INDUSTRY

Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network

(2019) Jun Wu et al.   ISA TRANSACTIONS

ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis

(2019) Xin Wang et al.   NEUROCOMPUTING

Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform

(2019) Guoqiang Li et al.   SENSORS

A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis

(2019) Xiaoli Zhao et al.   NEUROCOMPUTING

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

(2019) Pengfei Liang et al.   COMPUTERS IN INDUSTRY

A multi-ensemble method based on deep auto-encoders for fault diagnosis of rolling bearings

(2019) Xianguang Kong et al.   MEASUREMENT

Reliability prediction of machinery with multiple degradation characteristics using double-Wiener process and Monte Carlo algorithm

(2019) Yiwei Cheng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Degradation Data-Driven Time-To-Failure Prognostics Approach for Rolling Element Bearings in Electrical Machines

(2018) Jun Wu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Single and Simultaneous Fault Diagnosis with Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach

(2018) Zhi-Xin Yang et al.   IEEE Transactions on Industrial Informatics

Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

(2018) Min Xia et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery

(2018) Xian-Bo Wang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Artificial intelligence for fault diagnosis of rotating machinery: A review

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

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks

(2018)   IEEE Transactions on Industrial Informatics

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

(2018) Te Han et al.   KNOWLEDGE-BASED SYSTEMS

Analysis of Statistical Time-Domain Features Effectiveness in Identification of Bearing Faults From Vibration Signal

(2017) B. R. Nayana et al.   IEEE SENSORS JOURNAL

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

Deep neural networks-based rolling bearing fault diagnosis

(2017) Zhiqiang Chen et al.   MICROELECTRONICS RELIABILITY

Representational Learning for Fault Diagnosis of Wind Turbine Equipment: A Multi-Layered Extreme Learning Machines Approach

(2016) Zhi-Xin Yang et al.   Energies

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

Simultaneous-Fault Diagnosis of Gearboxes Using Probabilistic Committee Machine

(2016) Jian-Hua Zhong et al.   SENSORS

Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios

(2015) Felix Juefei-Xu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Subspace-Based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST’s Face Recognition Grand Challenge

(2014) Felix Juefei-Xu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN

(2013) D.H. Pandya et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis

(2012) V. Muralidharan et al.   APPLIED SOFT COMPUTING

A review on empirical mode decomposition in fault diagnosis of rotating machinery

(2012) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Feature extraction method of wind turbine based on adaptive Morlet wavelet and SVD

(2011) Yonghua Jiang et al.   RENEWABLE ENERGY

A case study on classification of features by fast single-shot multiclass PSVM using Morlet wavelet for fault diagnosis of spur bevel gear box

(2009) N. Saravanan et al.   EXPERT SYSTEMS WITH APPLICATIONS