Remaining Useful Life Prediction of Hybrid Ceramic Bearings Using an Integrated Deep Learning and Particle Filter Approach

Author： Deutsch Jason He Miao He David

Publisher： MDPI

E-ISSN： 2076-3417|7|7|649-649

ISSN： 2076-3417

Source： Applied Sciences, Vol.7, Iss.7, 2017-06, pp. : 649-649

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Novel Hybrid Approach to Deal with DVL Malfunctions for Underwater Integrated Navigation Systems

By Zhu Yixian Cheng Xianghong Hu Jie Zhou Ling Fu Jinbo

Applied Sciences, Vol. 7, Iss. 8, 2017-07 ,pp. : 759-759

MDPI

Access to resources Recommend Favorite

Automated Diatom Classification (Part B): A Deep Learning Approach

By Pedraza Anibal Bueno Gloria Deniz Oscar Cristóbal Gabriel Blanco Saúl Borrego-Ramos María

Applied Sciences, Vol. 7, Iss. 5, 2017-05 ,pp. : 460-460

MDPI

Access to resources Recommend Favorite

DeepGait: A Learning Deep Convolutional Representation for View-Invariant Gait Recognition Using Joint Bayesian

By Li Chao Min Xin Sun Shouqian Lin Wenqian Tang Zhichuan

Applied Sciences, Vol. 7, Iss. 3, 2017-02 ,pp. : 210-210

MDPI

Access to resources Recommend Favorite

Damage-Induced Stresses and Remaining Service Life Predictions of Wire Ropes

By Vukelic Goran Vizentin Goran

Applied Sciences, Vol. 7, Iss. 1, 2017-01 ,pp. : 107-107

MDPI

Access to resources Recommend Favorite

Fault Diagnosis of Roller Bearings Based on a Wavelet Neural Network and Manifold Learning

By Wu Lifeng Yao Beibei Peng Zhen Guan Yong

Applied Sciences, Vol. 7, Iss. 2, 2017-02 ,pp. : 158-158

MDPI

Access to resources Recommend Favorite