A New Intermediate-Domain SVM-Based Transfer Model for Rolling Bearing RUL Prediction

Remaining useful life prediction of rolling bearing using fractal theory

(2020) Zong Meng et al.   MEASUREMENT

A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings

(2020) Cheng Cheng et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Machine Learning Approach Using MLP and SVM Algorithms for the Fault Prediction of a Centrifugal Pump in the Oil and Gas Industry

(2020) Pier Francesco Orrù et al.   Sustainability

State of AI-Based Monitoring in Smart Manufacturing and Introduction to Focused Section

(2020) Han Ding et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features

(2020) Junchuan Shi et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Prediction of performance deterioration of rolling bearing based on JADE and PSO-SVM

(2020) Tao Zan et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Data-Driven Method for Predicting Remaining Useful Life of Bearing Based on Bayesian Theory

(2020) Tianhong Gao et al.   SENSORS

Precision degradation prediction of inertial test turntable based on Hidden Markov Model and optimized particle filtering

(2020) Liming Li et al.   Advances in Mechanical Engineering

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

(2019) Te Han et al.   ISA TRANSACTIONS

Transfer between multiple working conditions: A new TCCHC-based exponential semi-deterministic extended Kalman filter for bearing remaining useful life prediction

(2019) Fei Shen et al.   MEASUREMENT

Knowledge Transfer for Rotary Machine Fault Diagnosis

(2019) Ruqiang Yan et al.   IEEE SENSORS JOURNAL

Prognosis of Bearing Acoustic Emission Signals Using Supervised Machine Learning

(2018) Mohamed Elforjani et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Real-Time Remaining Useful Life Prediction for a Nonlinear Degrading System in Service: Application to Bearing Data

(2018) Zhao-Qiang Wang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Spare optimistic based on improved ADMM and the minimum entropy de-convolution for the early weak fault diagnosis of bearings in marine systems

(2018) Yangde Gao et al.   ISA TRANSACTIONS

Bearing remaining useful life prediction based on deep autoencoder and deep neural networks

(2018) Lei Ren et al.   JOURNAL OF MANUFACTURING SYSTEMS

Remaining useful life estimation in prognostics using deep convolution neural networks

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

Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning

(2018) Pei Cao et al.   IEEE Access

Fast Blind Reconstruction with Wavelet Transforms Regularization and Total Variation Minimization for FTIR Imaging Spectrometer

(2018) Tingting Liu et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing

(2018) Lingli Cui et al.   MEASUREMENT

Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction

(2018) Lei Ren et al.   Future Generation Computer Systems-The International Journal of eScience

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

(2018) Biao Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

Deep Model Based Domain Adaptation for Fault Diagnosis

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

A deep learning-based recognition method for degradation monitoring of ball screw with multi-sensor data fusion

(2017) Li Zhang et al.   MICROELECTRONICS RELIABILITY

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

(2017) Chong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Modified ZNN for Time-Varying Quadratic Programming With Inherent Tolerance to Noises and Its Application to Kinematic Redundancy Resolution of Robot Manipulators

(2016) Long Jin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A nonlinear model for ductile damage accumulation under multiaxial non-proportional loading conditions

(2016) Luca Cortese et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Bearing faults diagnostics based on hybrid LS-SVM and EMD method

(2015) Xiaofeng Liu et al.   MEASUREMENT

Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

(2015) Jaouher Ben Ali et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Corrected-loss estimation for quantile regression with covariate measurement errors

(2012) H. J. Wang et al.   BIOMETRIKA

Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach

(2012) Lixin Duan et al.   IEEE Transactions on Neural Networks and Learning Systems

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Prognosis of Defect Propagation Based on Recurrent Neural Networks

(2011) Arnaz Malhi et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

WITHDRAWN: Recurrent NARX time series model prediction: A feedforward and recurrent radial basis function network

(2010) Ryad Zemouri et al.   NEURAL NETWORKS