Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties

Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings

(2020) Haiping Zhu et al.   APPLIED SOFT COMPUTING

Particle Swarm Optimization-Support Vector Machine Model for Machinery Fault Diagnoses in High-Voltage Circuit Breakers

(2020) Xiaofeng Li et al.   Chinese Journal of Mechanical Engineering

Bearing fault diagnosis base on multi-scale CNN and LSTM model

(2020) Xiaohan Chen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Intelligent fault diagnosis of Wind Turbines via a Deep Learning Network Using Parallel Convolution Layers with Multi-Scale Kernels

(2020) Yuanhong Chang et al.   RENEWABLE ENERGY

Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots

(2020) Jianyu Long et al.   JOURNAL OF MANUFACTURING SYSTEMS

A systematic review of deep transfer learning for machinery fault diagnosis

(2020) Chuan Li et al.   NEUROCOMPUTING

A Sparse Autoencoder and Softmax Regression Based Diagnosis Method for the Attachment on the Blades of Marine Current Turbine

(2019) Yilai Zheng et al.   SENSORS

A New Method of Wind Turbine Bearing Fault Diagnosis Based on Multi-Masking Empirical Mode Decomposition and Fuzzy C-Means Clustering

(2019) Yongtao Hu et al.   Chinese Journal of Mechanical Engineering

Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching

(2019) Mingyue Tan et al.   COMPLEXITY

Signal-Based Intelligent Hydraulic Fault Diagnosis Methods: Review and Prospects

(2019) Juying Dai et al.   Chinese Journal of Mechanical Engineering

Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers

(2019) Shaohui Zhang et al.   IEEE Transactions on Industrial Informatics

An Enhanced Trace Ratio Linear Discriminant Analysis for Fault Diagnosis: An Illustrated Example Using HDD Data

(2019) Ang Yang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A Novel Sparse Echo Autoencoder Network for Data-Driven Fault Diagnosis of Delta 3-D Printers

(2019) Jianyu Long et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN

(2019) Hui Wang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Knowledge Transfer for Rotary Machine Fault Diagnosis

(2019) Ruqiang Yan et al.   IEEE SENSORS JOURNAL

Evolving Deep Echo State Networks for Intelligent Fault Diagnosis

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

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

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

Fault diagnosis of planetary gearbox with incomplete information using assignment reduction and flexible naive Bayesian classifier

(2018) Jun Yu et al.   Journal of Mechanical Science and Technology

Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features

(2018) H.O.A. Ahmed et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on the application of deep learning in system health management

(2018) Samir Khan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Open-circuit fault diagnosis of power rectifier using sparse autoencoder based deep neural network

(2018) Lin Xu et al.   NEUROCOMPUTING

Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines

(2018) Kun He et al.   SENSORS

Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network

(2018) Muhammad Sohaib et al.   SHOCK AND VIBRATION

Abnormal event detection in crowded scenes using one-class SVM

(2018) Somaieh Amraee et al.   Signal Image and Video Processing

Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators

(2018) Dong Wang et al.   IEEE Access

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Dynamic condition monitoring for 3D printers by using error fusion of multiple sparse auto-encoders

(2018) Shaohui Zhang et al.   COMPUTERS IN INDUSTRY

Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVM

(2017) Ke Yan et al.   NEUROCOMPUTING

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

(2017) Chen Lu et al.   SIGNAL PROCESSING

Detection of Pitting in Gears Using a Deep Sparse Autoencoder

(2017) Yongzhi Qu et al.   Applied Sciences-Basel

A Rolling Bearing Fault Diagnosis Method Based on Variational Mode Decomposition and an Improved Kernel Extreme Learning Machine

(2017) Ke Li et al.   Applied Sciences-Basel

Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery

(2017) Yumei Qi et al.   IEEE Access

Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions

(2016) Piero Baraldi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Unsupervised Sparse Pattern Diagnostic of Defects With Inductive Thermography Imaging System

(2016) Bin Gao et al.   IEEE Transactions on Industrial Informatics

Some Challenges and Opportunities in Reliability Engineering

(2016) Enrico Zio   IEEE TRANSACTIONS ON RELIABILITY

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks

(2016) W. Chine et al.   RENEWABLE ENERGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Representation Learning: A Review and New Perspectives

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

Model-based and data-driven prognostics under different available information

(2013) Piero Baraldi et al.   PROBABILISTIC ENGINEERING MECHANICS