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Anomaly detection with a container-based stream processing framework for Industrial Internet of Things

  • Published:2023-10 Issue: Volume:35 Page:100507
  • ISSN:2452-414X
  • Container-title:Journal of Industrial Information Integration
  • language:en
  • Short-container-title:Journal of Industrial Information Integration

Author:

Wang Renfang,Qiu Hong,Cheng Xu,Liu XiufengORCID

Funder

National Natural Science Foundation of China

Ningbo Municipal Bureau of Science and Technology

Science and Technology Program of Zhejiang Province

Publisher

Elsevier BV

Subject

Information Systems and Management,Industrial and Manufacturing Engineering

Reference69 articles.

1. Nitrogen;Rijksinstituut voor Volksgezondheid en Milieu,2019

2. Anomaly detection;IBM,2023

3. Challenges and recommended technologies for the industrial internet of things: A comprehensive review;Younan;Measurement,2020

4. Astream: Data-stream-driven scalable anomaly detection with accuracy guarantee in IIoT environment;Yang;IEEE Trans. Netw. Sci. Eng.,2022

5. A multi-stage automated online network data stream analytics framework for IIoT systems;Yang;IEEE Trans. Ind. Inform.,2022

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