An Intelligent Fault Diagnosis Method for Bearings with Variable Rotating Speed Based on Pythagorean Spatial Pyramid Pooling CNN

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

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

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network

(2018) Sheng Guo et al.   SENSORS

Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition

(2017) Peng Wang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO 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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

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

Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks

(2017) Tim de Bruin et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree

(2016) Yongbo Li et al.   MEASUREMENT

A Fault Diagnosis Method for Rolling Bearings Based on Feature Fusion of Multifractal Detrended Fluctuation Analysis and Alpha Stable Distribution

(2016) Qing Xiong et al.   SHOCK AND VIBRATION

A deep learning framework for hyperspectral image classification using spatial pyramid pooling

(2016) Jun Yue et al.   Remote Sensing Letters

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

An intelligent fault diagnosis system for process plant using a functional HAZOP and DBN integrated methodology

(2015) Jinqiu Hu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Multi-Task CNN Model for Attribute Prediction

(2015) Abrar H. Abdulnabi et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Rolling bearing fault diagnosis under variable conditions using LMD-SVD and extreme learning machine

(2015) Ye Tian et al.   MECHANISM AND MACHINE THEORY

Hierarchical spatial pyramid max pooling based on SIFT features and sparse coding for image classification

(2013) Hong Han et al.   IET Computer Vision

Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier

(2013) Changqing Shen et al.   MEASUREMENT

A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection

(2010) Bin Zhang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

BASE WAVELET SELECTION FOR BEARING VIBRATION SIGNAL ANALYSIS

(2009) RUQIANG YAN et al.   International Journal of Wavelets Multiresolution and Information Processing

Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform

(2009) Yanxue Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING