A method for rapidly evaluating reliability and predicting remaining useful life using two-dimensional convolutional neural network with signal conversion

Rolling bearing fault detection using continuous deep belief network with locally linear embedding

(2018) Haidong Shao et al.   COMPUTERS IN INDUSTRY

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

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

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

(2018) Rui Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning

(2018) Jiedi Sun et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

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

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

Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine

(2018) Shao Haidong et al.   KNOWLEDGE-BASED SYSTEMS

A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

(2018) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL 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

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on data-driven fault severity assessment in rolling bearings

(2018) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing

(2018) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machinery health indicator construction based on convolutional neural networks considering trend burr

(2018) Liang Guo et al.   NEUROCOMPUTING

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines

(2018) Feng Jia et al.   NEUROCOMPUTING

A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system

(2018) Hao Ren et al.   NEUROCOMPUTING

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network

(2018) Lei Ren et al.   IEEE Access

Rolling Bearing Fault Diagnosis Using Modified LFDA and EMD With Sensitive Feature Selection

(2018) Xiao Yu et al.   IEEE Access

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

Anomaly Detection and Fault Prognosis for Bearings

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

EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning

(2016) Farhan Riaz et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Remaining life prediction of rolling bearing based on PCA and improved logistic regression model

(2016) Bei Wang et al.   Journal of Vibroengineering

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics

(2015) Kamran Javed et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Prediction of Rolling Bearings Using an Enhanced Particle Filter

(2015) Yuning Qian et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Prognostics of slurry pumps based on a moving-average wear degradation index and a general sequential Monte Carlo method

(2015) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning

(2015) Yann LeCun et al.   NATURE