A Novel Deep Learning System with Data Augmentation for Machine Fault Diagnosis from Vibration Signals

A review of deep learning with special emphasis on architectures, applications and recent trends

(2020) Saptarshi Sengupta et al.   KNOWLEDGE-BASED SYSTEMS

Deep Learning-Enhanced Framework for Performance Evaluation of a Recommending Interface with Varied Recommendation Position and Intensity Based on Eye-Tracking Equipment Data Processing

(2020) Piotr Sulikowski et al.   Electronics

An improved ensemble fusion autoencoder model for fault diagnosis from imbalanced and incomplete data

(2020) Jing Yang et al.   CONTROL ENGINEERING PRACTICE

Generative Adversarial Learning Enhanced Fault Diagnosis for Planetary Gearbox under Varying Working Conditions

(2020) Weigang Wen et al.   SENSORS

SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection

(2020) Neelu Khare et al.   Electronics

Crossing generative adversarial networks for cross-view person re-identification

(2019) Chengyuan Zhang et al.   NEUROCOMPUTING

The research of virtual face based on Deep Convolutional Generative Adversarial Networks using TensorFlow

(2019) Shouqiang Liu et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis

(2019) Zongzhen Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective

(2019) Yuji Roh et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders

(2018) Chao Tong et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

3D conditional generative adversarial networks for high-quality PET image estimation at low dose

(2018) Yan Wang et al.   NEUROIMAGE

Condition Monitoring and Fault Diagnosis of Induction Motors: A Review

(2018) Anurag Choudhary et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

(2018) Xiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Highly-Accurate Machine Fault Diagnosis Using Deep Transfer Learning

(2018) Siyu Shao et al.   IEEE Transactions on Industrial Informatics

DBN Structure Design Algorithm for Different Datasets Based on Information Entropy and Reconstruction Error

(2018) Jianjun Jiang et al.   Entropy

Decision support system for safety improvement: An approach using multiple correspondence analysis, t-SNE algorithm and K-means clustering

(2018) Krantiraditya Dhalmahapatra et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A novel multi-segment feature fusion based fault classification approach for rotating machinery

(2018) Jiejunyi Liang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems

(2018) Roozbeh Razavi-Far et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

FusionGAN: A generative adversarial network for infrared and visible image fusion

(2018) Jiayi Ma et al.   Information Fusion

Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder

(2017) Min Xia et al.   IET Science Measurement & Technology

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

(2017) Chen Lu et al.   SIGNAL PROCESSING

Deep Fault Recognizer: An Integrated Model to Denoise and Extract Features for Fault Diagnosis in Rotating Machinery

(2016) Xiaojie Guo et al.   Applied Sciences-Basel

Identifying maximum imbalance in datasets for fault diagnosis of gearboxes

(2015) Pedro Santos et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Review of control and fault diagnosis methods applied to coal mills

(2015) V. Agrawal et al.   JOURNAL OF PROCESS CONTROL

Global robust stability analysis of uncertain neural networks with time varying delays

(2015) Ruya Samli et al.   NEUROCOMPUTING

Improved decision tree construction based on attribute selection and data sampling for fault diagnosis in rotating machines

(2014) Nour El Islem Karabadji et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Bayes Monte-Carlo Assessment Method of Protection Systems Reliability Based on Small Failure Sample Data

(2014) Zhihui Dai et al.   IEEE TRANSACTIONS ON POWER DELIVERY

A new neural network model based on the LVQ algorithm for multi-class classification of arrhythmias

(2014) Patricia Melin et al.   INFORMATION SCIENCES

Review of Techniques for Fault Diagnosis in Damaged Structure and Engineering System

(2012) Dhirendra Nath Thatoi et al.   Advances in Mechanical Engineering

Angular resampling for vibration analysis in wind turbines under non-linear speed fluctuation

(2011) Luisa F. Villa et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An improved local tangent space alignment method for manifold learning

(2010) Peng Zhang et al.   PATTERN RECOGNITION LETTERS

Vibration based fault diagnosis of monoblock centrifugal pump using decision tree

(2009) N.R. Sakthivel et al.   EXPERT SYSTEMS WITH APPLICATIONS

Implementation in MATLAB of the adaptive Monte Carlo method for the evaluation of measurement uncertainties

(2008) M. Solaguren-Beascoa Fernández et al.   ACCREDITATION AND QUALITY ASSURANCE

Prognostics in Battery Health Management

(2008) Kai Goebel et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE