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
Abstract:

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

References (0)

Cited By (0)

No reference data.
No citation data.
Advertisement
Join Copernicus Academic and get access to over 12 million papers authored by 7+ million academics.
Join for free!