Intelligent fault diagnosis and visual interpretability of rotating machinery based on residual neural network

Gear Fault Diagnosis Based on CS-improved Variational Mode Decomposition and Probabilistic Neural Network

(2022) Ying Lin et al.   MEASUREMENT

A Comprehensive Survey on Antennas On-Chip Based on Metamaterial, Metasurface, and Substrate Integrated Waveguide Principles for Millimeter-Waves and Terahertz Integrated Circuits and Systems

(2022) Mohammad Alibakhshikenari et al.   IEEE Access

An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates

(2021) Samir Khatir et al.   COMPOSITE STRUCTURES

A comprehensive survey on ‘circular polarized antennas’ for existing and emerging wireless communication technologies

(2021) Iram Nadeem et al.   JOURNAL OF PHYSICS D-APPLIED PHYSICS

A data-driven approach based on long short-term memory and hidden Markov model for crack propagation prediction

(2020) Duyen H. Nguyen-Le et al.   ENGINEERING FRACTURE MECHANICS

Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis

(2020) S. Khatir et al.   THEORETICAL AND APPLIED FRACTURE MECHANICS

A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures

(2020) H. Tran-Ngoc et al.   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE

Efficient Artificial neural networks based on a hybrid metaheuristic optimization algorithm for damage detection in laminated composite structures

(2020) H. Tran-Ngoc et al.   COMPOSITE STRUCTURES

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

(2019) Chunzhi Wu et al.   COMPUTERS IN INDUSTRY

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

(2019) Te Han et al.   ISA TRANSACTIONS

Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis

(2019) Jinyang Jiao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network

(2019) Zhuyun Chen et al.   IEEE Transactions on Industrial Informatics

Evolving Deep Echo State Networks for Intelligent Fault Diagnosis

(2019) Jianyu Long et al.   IEEE Transactions on Industrial Informatics

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

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

A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

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

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines

(2018) Feng Jia et al.   NEUROCOMPUTING

Intelligent Fault Diagnosis of the High-Speed Train With Big Data Based on Deep Neural Networks

(2017) Hexuan Hu et al.   IEEE Transactions on Industrial Informatics

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

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

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2016) Xiaojie Guo et al.   MEASUREMENT