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Review of Recent Research on Data-Based Process Monitoring

Industrial & Engineering Chemistry Research · 2013 · Vol. 52(10) · pp. 3543–3562
Zhiqiang GeZhihuan SongFurong Gao

Abstract

Data-based process monitoring has become a key technology in process industries for safety, quality, and operation efficiency enhancement. This paper provides a timely update review on this topic. First, the natures of different industrial processes are revealed with their data characteristics analyzed. Second, detailed terminologies of the data-based process monitoring method are illustrated. Third, based on each of the main data characteristics that exhibits in the process, a corresponding problem is defined and illustrated, with review conducted with detailed discussions on connection and comparison of different monitoring methods. Finally, the relevant research perspectives and several promising issues are highlighted for future work.

Fault Detection and Control SystemsMineral Processing and GrindingAdvanced Control Systems OptimizationComputer scienceProcess (computing)Key (lock)Data scienceWork in processRisk analysis (engineering)Data qualityProcess managementData miningSystems engineering
Citations
940
FWCI
102.86
field-weighted impact
References
176
Percentile
100%
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Citations per year
References
Reconstruction-Based Fault Identification Using a Combined Index
Industrial & Engineering Chemistry Research · 2001 · 491 citations
Nonlinear process monitoring using kernel principal component analysis
Chemical Engineering Science · 2003 · 1,065 citations
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