Early Fault Detection Method of Rolling Bearing Based on MCNN and GRU Network with an Attention Mechanism

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

(2018) Aowabin Rahman et al.   APPLIED ENERGY

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

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

Correlation filter-based visual tracking via adaptive weighted CNN features fusion

(2018) Zhaohui Hao et al.   IET Image Processing

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

Period-aware content attention RNNs for time series forecasting with missing values

(2018) Yagmur Gizem Cinar et al.   NEUROCOMPUTING

A probabilistic approach to remaining useful life prediction of rolling element bearings

(2018) Guru Prakash et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

HVSRMS localization formula and localization law: Localization diagnosis of a ball bearing outer ring fault

(2018) Lingli Cui et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Early fault detection and diagnosis in bearings for more efficient operation of rotating machinery

(2017) Aleksandar Brkovic et al.   ENERGY

Deep Model Based Domain Adaptation for Fault Diagnosis

(2017) Weining Lu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Prediction of bearing damage in wind turbines based on the quadratic root mean square of sub-band manifold

(2017) Wang Guangbin et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

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

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

Anomaly Detection and Fault Prognosis for Bearings

(2016) Xiaohang Jin et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Related and independent variable fault detection based on KPCA and SVDD

(2016) Jian Huang et al.   JOURNAL OF PROCESS CONTROL

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

(2016) Wenjun Sun et al.   MEASUREMENT

Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

(2016) Meng Gan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis

(2015) Thomas W. Rauber et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A summary of fault modelling and predictive health monitoring of rolling element bearings

(2015) Idriss El-Thalji et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning

(2015) Yann LeCun et al.   NATURE

An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings

(2015) Pramod Bangalore et al.   IEEE Transactions on Smart Grid

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

(2014) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Vibration analysis for bearing fault detection and classification using an intelligent filter

(2014) Jafar Zarei et al.   MECHATRONICS

Fault Detection and Identification Based on the Neighborhood Standardized Local Outlier Factor Method

(2013) Hehe Ma et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Investigation on early fault classification for rolling element bearing based on the optimal frequency band determination

(2013) Hongkun Li et al.   JOURNAL OF INTELLIGENT MANUFACTURING

An Observer-Based Diagnosis Scheme for Single and Simultaneous Open-Switch Faults in Induction Motor Drives

(2010) D. U. Campos-Delgado et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Survey of Fault Detection, Isolation, and Reconfiguration Methods

(2009) Inseok Hwang et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY