Fault diagnosis of rolling bearings using an Improved Multi-Scale Convolutional Neural Network with Feature Attention mechanism

Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy

(2019) Xuejun Chen et al.   ENERGY

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

Study of adaptive blades in extreme environment using fluid–structure interaction method

(2019) Weipao Miao et al.   JOURNAL OF FLUIDS AND STRUCTURES

Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

(2019) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2019) Pengfei Liang et al.   COMPUTERS IN INDUSTRY

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

(2018) Guoqian Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Complete ensemble local mean decomposition with adaptive noise and its application to fault diagnosis for rolling bearings

(2018) Lei Wang 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

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

Research on variational mode decomposition in rolling bearings fault diagnosis of the multistage centrifugal pump

(2017) Ming Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of gearbox using empirical mode decomposition and multi-fractal detrended cross-correlation analysis

(2016) Hongmei Liu et al.   JOURNAL OF SOUND AND VIBRATION

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

Rolling bearing fault diagnosis using an optimization deep belief network

(2015) Haidong Shao et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A fault diagnosis method based on local mean decomposition and multi-scale entropy for roller bearings

(2014) Huanhuan Liu et al.   MECHANISM AND MACHINE THEORY

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference

(2010) Long Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS