Automatic machine status prediction in the era of Industry 4.0: Case study of machines in a spring factory-Reference-Cited by-同舟云学术

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Automatic machine status prediction in the era of Industry 4.0: Case study of machines in a spring factory

Published:2017-11 Issue: Volume:81 Page:44-53
ISSN:1383-7621
Container-title:Journal of Systems Architecture
language:en
Short-container-title:Journal of Systems Architecture

Author:

Kuo Cheng-Ju,Ting Kuo-Cheng,Chen Yi-Chung,Yang Don-Lin,Chen Hsi-Min

Funder

Ministry of Science and Technology of Taiwan, R.O.C.

Publisher

Elsevier BV

Subject

Hardware and Architecture,Software

Reference48 articles.

1. Conjunction of heuristic algorithms with multidimensional scaling for localization at wireless ad-hoc networks;Altinoz,2017

2. Accelerometer based human activities and posture recognition;Babu,2016

3. Activity recognition from user-annotated acceleration data;Bao,2004

4. Real-time predictive maintenance for wind turbines using Big Data frameworks;Canizo,2017

5. A Neural Skyline Filter for Accelerating the Skyline Search Algorithms;Chen;Expert Syst.,2015

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2. Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements;Applied Sciences;2023-11-15

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