reviewIEEE Transactions on Industrial ElectronicsJan 31, 2014Closed access

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

Harbin Institute of Technology · University of Duisburg-Essen

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Abstract

Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-driven methods have been receiving considerably increasing attention, particularly for the purpose of process monitoring. However, great challenges are also met under different real operating conditions by using the basic data-driven methods. In this paper, widely applied data-driven methodologies suggested in the literature for process monitoring and fault diagnosis are surveyed from the application point of view. The major task of this paper is to sketch a basic data-driven design framework with necessary modifications under various industrial operating conditions, aiming to offer a reference for industrial…

Citation impact

1,658
total citations
FWCI
192.01
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100%
References
93
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Authors

4

Topics & keywords

Keywords
  • Process (computing)
  • Computer science
  • Sketch
  • Reliability (semiconductor)
  • Condition monitoring
  • Data-driven
  • Task (project management)
  • Fault detection and isolation
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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