Novel direct remaining useful life estimation of aero-engines with randomly assigned hidden nodes

Auxiliary Particle Filtering-Based Estimation of Remaining Useful Life of IGBT

(2018) Moinul Shahidul Haque et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Prognostics and Health Management of Bearings Based on Logarithmic Linear Recursive Least-Squares and Recursive Maximum Likelihood Estimation

(2018) Xiongjun Liu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Online Tool Wear Monitoring Via Hidden Semi-Markov Model With Dependent Durations

(2018) Kunpeng Zhu et al.   IEEE Transactions on Industrial Informatics

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

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

Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models

(2017) Naipeng Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Direct Remaining Useful Life Estimation Based on Support Vector Regression

(2017) Racha Khelif et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

RUL Prediction of Deteriorating Products Using an Adaptive Wiener Process Model

(2017) Qingqing Zhai et al.   IEEE Transactions on Industrial Informatics

Recursive least mean p -power Extreme Learning Machine

(2017) Jing Yang et al.   NEURAL NETWORKS

Health Index-Based Prognostics for Remaining Useful Life Predictions in Electrical Machines

(2016) Feng Yang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

(2015) Naipeng Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Adaptive neural control for a class of MIMO nonlinear systems with extreme learning machine

(2015) Hai-Jun Rong et al.   NEUROCOMPUTING

Degradation Feature Selection for Remaining Useful Life Prediction of Rolling Element Bearings

(2015) Bin Zhang et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering

(2015) Kamran Javed et al.   IEEE Transactions on Cybernetics

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

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

Prediction of Aircraft Failure Times Using Artificial Neural Networks and Genetic Algorithms

(2014) Ayca Altay et al.   JOURNAL OF AIRCRAFT

Discovering Prognostic Features Using Genetic Programming in Remaining Useful Life Prediction

(2013) Linxia Liao   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Highly comparative time-series analysis: the empirical structure of time series and their methods

(2013) B. D. Fulcher et al.   Journal of the Royal Society Interface

Direct adaptive neural control of nonlinear systems with extreme learning machine

(2012) Hai-Jun Rong et al.   NEURAL COMPUTING & APPLICATIONS

Joint Prediction of Continuous and Discrete States in Time-Series Based on Belief Functions

(2012) Emmanuel Ramasso et al.   IEEE Transactions on Cybernetics

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Stable indirect adaptive neural controller for a class of nonlinear system

(2011) Hai-Jun Rong et al.   NEUROCOMPUTING

Performance enhancement of extreme learning machine for multi-category sparse data classification problems

(2010) S. Suresh et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems

(2009) Hai-Jun Rong et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system

(2009) Enrico Zio et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY