Pyramid LSTM Network for Tool Condition Monitoring
Author:
Affiliation:
1. Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Changzhou, China
2. School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, China
Funder
Chinese National Key Research and Development Project
Chinese Ministry of Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09770792.pdf?arnumber=9770792
Reference36 articles.
1. Fuzzy neural network modelling for tool wear estimation in dry milling operation;li;Proc Annu Conf PHM Soc,2009
2. Autoencoder Regularized Network For Driving Style Representation Learning
3. A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
4. LSTM-based encoder-decoder for multi-sensor anomaly detection;malhotra;arXiv 1607 00148,2016
5. Effects of calcium-treatment of a plastic injection mold steel on the tool wear and power consumption in slot milling
Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Vibration Signal-Based Tool Condition Monitoring Using Regularized Sensor Data Modeling and Model Frequency Analysis;IEEE Transactions on Instrumentation and Measurement;2024
2. Semi-supervised multi-source meta-domain generalization method for tool wear state prediction under varying cutting conditions;Journal of Manufacturing Systems;2023-12
3. Predictive Health Status Assessment of a Launch Vehicle Engine in an Ascending Flight Based on Vibration Signals;IEEE Transactions on Aerospace and Electronic Systems;2023-12
4. A multi-modal vehicle trajectory prediction framework via conditional diffusion model: A coarse-to-fine approach;Knowledge-Based Systems;2023-11
5. Hierarchical temporal transformer network for tool wear state recognition;Advanced Engineering Informatics;2023-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3