PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes-Reference-Cited by-同舟云学术

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PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Congress on Big Data (BigDataCongress)
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Author:

Proto Stefano,Ventura Francesco,Apiletti Daniele,Cerquitelli Tania,Baralis Elena,Macii Enrico,Macii Alberto

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8805991/8818170/08818217.pdf?arnumber=8818217

Cited by 18 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. Elevating Smart Manufacturing with a Unified Predictive Maintenance Platform: The Synergy between Data Warehousing, Apache Spark, and Machine Learning;Sensors;2024-06-29

2. Predicting Machine Failures from Multivariate Time Series: An Industrial Case Study;Machines;2024-05-22

3. A Systematic Review of Data Quality in CPS and IoT for Industry 4.0;ACM Computing Surveys;2023-07-17

4. Machine learning-based failure prediction in industrial maintenance: improving performance by sliding window selection;International Journal of Quality & Reliability Management;2022-11-02

5. Digitale Prozesslenkung mit ToolProduction;Zeitschrift für wirtschaftlichen Fabrikbetrieb;2021-11-01

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