Adaptive Feature Utilization With Separate Gating Mechanism and Global Temporal Convolutional Network for Remaining Useful Life Prediction-Reference-Cited by-同舟云学术

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Adaptive Feature Utilization With Separate Gating Mechanism and Global Temporal Convolutional Network for Remaining Useful Life Prediction

Published:2023-09-15 Issue:18 Volume:23 Page:21408-21420
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Xia Pengcheng¹^ORCID,Huang Yixiang¹^ORCID,Qin Chengjin¹^ORCID,Xiao Dengyu²,Gong Liang¹^ORCID,Liu Chengliang¹^ORCID,Du Wenliao³^ORCID

Affiliation:

1. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China

2. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

3. School of Mechanical Engineering, Zhengzhou University of Light Industry, Zhengzhou, China

Funder

National Natural Science Foundation of China

Shanghai AI Creativity Development Project

Shanghai Municipal Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10251409/10201411.pdf?arnumber=10201411

Reference54 articles.

1. Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning

2. KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction

3. A gene expression programming-based method for real-time wear estimation of disc cutter on TBM cutterhead

4. Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

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