Fault Diagnosis of Rotating Machinery under Noisy Environment Conditions Based on a 1-D Convolutional Autoencoder and 1-D Convolutional Neural Network

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

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

Image denoising method based on a deep convolution neural network

(2018) Fu Zhang et al.   IET Image 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

An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition

(2018) Zirui Wang et al.   NEUROCOMPUTING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

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

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

Object Detection and Classification by Decision-Level Fusion for Intelligent Vehicle Systems

(2017) Sang-Il Oh et al.   SENSORS

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

(2017) Chen Lu et al.   SIGNAL PROCESSING

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

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

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

Gearbox Fault Identification and Classification with Convolutional Neural Networks

(2015) ZhiQiang Chen et al.   SHOCK AND VIBRATION

Time series forecasting using a deep belief network with restricted Boltzmann machines

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

Using multi-sensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cell

(2013) M.S. Safizadeh et al.   Information Fusion

Application of power spectrum, cepstrum, higher order spectrum and neural network analyses for induction motor fault diagnosis

(2013) B. Liang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

(2013) Jay Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An overview of time-based and condition-based maintenance in industrial application

(2012) Rosmaini Ahmad et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Rotating machinery prognostics: State of the art, challenges and opportunities

(2008) Aiwina Heng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING