Fault diagnosis of rotating machinery based on recurrent neural networks

Wearable human motion posture capture and medical health monitoring based on wireless sensor networks

(2020) Liang Gao et al.   MEASUREMENT

Optimal bilateral filter and Convolutional Neural Network based denoising method of medical image measurements

(2019) Mohamed Elhoseny et al.   MEASUREMENT

A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings

(2019) Meidi Sun et al.   MEASUREMENT

A probability and integrated learning based classification algorithm for high-level human emotion recognition problems

(2019) Dazhi Jiang et al.   MEASUREMENT

A New Fault Diagnosis of Multifunctional Spoiler System Using Integrated Artificial Neural Network and Discrete Wavelet Transform Methods

(2018) Mojtaba Kordestani et al.   IEEE SENSORS JOURNAL

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

(2018) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

(2018) Rui Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

The optimized deep belief networks with improved logistic Sigmoid units and their application in fault diagnosis for planetary gearboxes of wind turbines

(2018) Yi Qin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Sparse Deep Stacking Network for Fault Diagnosis of Motor

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders

(2018) Han Liu et al.   ISA TRANSACTIONS

A novel approach for analog circuit fault diagnosis based on Deep Belief Network

(2018) Guangquan Zhao et al.   MEASUREMENT

Intelligent fault diagnosis of rolling bearings using an improved deep recurrent neural network

(2018) Hongkai Jiang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine

(2017) Ruonan Liu et al.   IEEE Transactions on Industrial Informatics

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: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Diagnosis for Rotating Machinery: A Method based on Image Processing

(2016) Chen Lu et al.   PLoS One

Intelligent fault diagnosis of roller bearings with multivariable ensemble-based incremental support vector machine

(2015) XiaoLi Zhang et al.   KNOWLEDGE-BASED SYSTEMS

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