TY - JOUR
T1 - Trustworthiness problem of gas turbine parametric diagnosing
AU - Loboda, Igor
N1 - Publisher Copyright:
© 2003 International Federation of Automatic Control.
PY - 2003
Y1 - 2003
N2 - In the paper, different gas turbine parametric diagnosing methods are analyzed on the base of trustworthiness criteria. The nonlinear gaspath thermodynamic models, random number generators, and real registration data are used for methods adjustment and verification. The achieved trustworthiness level is sufficient to recommend the examined methods for realization in automated diagnosing systems.
AB - In the paper, different gas turbine parametric diagnosing methods are analyzed on the base of trustworthiness criteria. The nonlinear gaspath thermodynamic models, random number generators, and real registration data are used for methods adjustment and verification. The achieved trustworthiness level is sufficient to recommend the examined methods for realization in automated diagnosing systems.
KW - Accuracy
KW - Classification
KW - Controllability
KW - Diagnosis
KW - Gas turbines
KW - Identification
KW - Mathematical models
KW - Stochastic modelling
UR - http://www.scopus.com/inward/record.url?scp=37249022167&partnerID=8YFLogxK
U2 - 10.1016/S1474-6670(17)36520-5
DO - 10.1016/S1474-6670(17)36520-5
M3 - Artículo de la conferencia
AN - SCOPUS:37249022167
SN - 1474-6670
VL - 36
SP - 375
EP - 380
JO - IFAC Proceedings Volumes (IFAC-PapersOnline)
JF - IFAC Proceedings Volumes (IFAC-PapersOnline)
IS - 5
T2 - 5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Safeprocess 2003
Y2 - 9 June 1997 through 11 June 1997
ER -