A deep supervised learning approach for condition-based maintenance of naval propulsion systems

Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction

(2020) Sheng Xiang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

(2020) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network

(2019) Yalin Wang et al.   ISA TRANSACTIONS

Convolution and Long Short-Term Memory Hybrid Deep Neural Networks for Remaining Useful Life Prognostics

(2019) Zhengmin Kong et al.   Applied Sciences-Basel

A one-class SVM based approach for condition-based maintenance of a naval propulsion plant with limited labeled data

(2019) Yanghui Tan et al.   OCEAN ENGINEERING

SEISMIC FAULT DETECTION WITH CONVOLUTIONAL NEURAL NETWORK

(2018) Wei Xiong et al.   GEOPHYSICS

Estimation of Bearing Remaining Useful Life based on Multiscale Convolutional Neural Network

(2018) Jun Zhu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Condition-Based Maintenance of Naval Propulsion Systems with supervised Data Analysis

(2018) Francesca Cipollini et al.   OCEAN ENGINEERING

Condition-based maintenance of naval propulsion systems: Data analysis with minimal feedback

(2018) Francesca Cipollini et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Deep Learning for fault detection in wind turbines

(2018) Georg Helbing et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Recursive least-squares temporal difference learning for adaptive traffic signal control at intersection

(2017) Biao Yin et al.   NEURAL COMPUTING & APPLICATIONS

Enhanced Restricted Boltzmann Machine With Prognosability Regularization for Prognostics and Health Assessment

(2016) Linxia Liao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Finite-sensor fault-diagnosis simulation study of gas turbine engine using information entropy and deep belief networks

(2016) De-long Feng et al.   Frontiers of Information Technology & Electronic Engineering

Local Receptive Fields Based Extreme Learning Machine

(2015) Guang-Bin Huang et al.   IEEE Computational Intelligence Magazine

Deep learning

(2015) Yann LeCun et al.   NATURE

Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability

(2015) P.J. García Nieto et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle

(2015) Guang-Bin Huang   Cognitive Computation

Stacked Extreme Learning Machines

(2015) Hongming Zhou et al.   IEEE Transactions on Cybernetics

TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization

(2011) Yoan Miche et al.   NEUROCOMPUTING