Model Based Fault Identification in Rotor Systemsby Least Squares Fitting | Zendy

Richard Markert | Zendy; Roland Platz | Zendy; Malte Seidler | Zendy

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Model Based Fault Identification in Rotor Systemsby Least Squares Fitting

Author(s) -

Richard Markert,

Roland Platz,

Malte Seidler

Publication year - 2000

Publication title -

international journal of rotating machinery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.265

H-Index - 33

eISSN - 1026-7115

pISSN - 1023-621X

DOI - 10.1155/s1023621x01000264

Subject(s) - fault (geology) , rotor (electric) , computer science , helicopter rotor , identification (biology) , noise (video) , least squares function approximation , control theory (sociology) , line (geometry) , fault detection and isolation , mathematics , physics , actuator , statistics , artificial intelligence , geometry , geology , botany , control (management) , quantum mechanics , seismology , estimator , image (mathematics) , biology

In the present paper a model based method for the on-line identification of malfunctions in rotor systems is proposed. The fault-induced change of the rotor system is taken into account by equivalent loads which are virtual forces and moments acting on the linear undamaged system model to generate a dynamic behaviour identical to the measuredone of the damaged system

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