Francisco Serdio, Edwin Lughofer,
"A Fault Detection and Isolation Framework for Repeatable and Comparable Experimentation"
: Proceedings of the PHM Conference (PHME) 2016, Serie PHM 2016, Vol. to appear, PHM Society, Bilbao, Seite(n) 649-660, 2016
Original Titel:
A Fault Detection and Isolation Framework for Repeatable and Comparable Experimentation
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the PHM Conference (PHME) 2016
Original Kurzfassung:
There is an extensive literature available about condition monitoring
relying on multi-dimensional data-driven system models
and mappings, including proposal of new methods and algorithms,
comparison of state-of-the-art methods, and stateof-
the-art revisions. But, when practitioners start to implement
their own software to carry out their research, there is a
lack of articles in the literature with detailed documentation
about how to design a framework for repeatable and comparable
experimentation. We propose a design for repeatable
and comparable experimentation on the field of Data-Driven
Residual-Based Fault Detection and Isolation. The framework
has already been used for several experiments, with successful
results, eliciting features such as (i) decreasing of developing
times, (ii) facilitating of configuration management,
and (iii) facilitating of collection and comparison of results