Detection and identification of faulty sensors in dynamic processes
By S. Qin, Weihua Li. 2001
158 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Mechanical Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1e39e016356fa971182dcffada8dba7a80109861
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In Control and Systems Engineering
In Mechanical Engineering
In Statistics and Probability
Citations in the corpus
- Applications of fault detection and diagnosis methods in nuclear power plants: A review (2011, methodology): “Subspace system identification methods emerged in the 1990s for modelbased FDD applications (Larimore, 1990) (Verhaegen and Dewilde, 1992) (Van Overschee and De Moor, 1994) (Van Overschee and De Moor, 1995) (Qin and Li, 2001) (Dong and Verhaegen, 2009) (Dong et al., 2009).”
- Survey on data-driven industrial process monitoring and diagnosis (2012, methodology): “Extensions to modeling dynamic process data are available in, for example, (Ku, Storer, & Georgakis, 1995; Qin & Li, 2001).”