Research articleUsing the expected detection delay to assess the performance of different multivariate statistical process monitoring methods for multiplicative and drift faults
Review articleOpen access
Kai Zhang - No affiliation found
2017/03/01 Full-length article DOI: 10.1016/j.isatra.2016.11.007
Journal: ISA Transactions
Highlights•Performance assessment of process monitoring approaches has been emphasized.•Extending the expected detection delay to multiplicative and drift fault cases is realized.•Common multivariate statistics-based process monitoring methods are grouped.•Numerical and Tennessee Eastman simulations are presented to show the theory.
Request full text