System state estimation by particle filtering for fault diagnosis and prognosis

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability

Volumn 224, Issue 3, 2010, Pages 149-158

  Cadini, F ^a   Avram, D ^a   Zio, E ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

hybrid system; Monte Carlo; particle filtering; state estimation

Indexed keywords

CONTINUOUS DYNAMICS; DIFFERENT MODES; DISCRETE MODE; ESTIMATION METHODS; FAULT DIAGNOSIS; HYBRID DYNAMIC SYSTEMS; MONTE CARLO; PARTICLE FILTERING; REAL APPLICATIONS; SYSTEM DYNAMICS; SYSTEM FAULTS; SYSTEM STATE;

DIAGNOSIS; ELECTRIC GROUNDING; ESTIMATION; HYBRID COMPUTERS; HYBRID SYSTEMS; NONLINEAR FILTERING; STATE ESTIMATION; SYSTEM THEORY;

MONTE CARLO METHODS;

EID: 77957563065     PISSN: 1748006X     EISSN: 17480078     Source Type: Journal    
DOI: 10.1243/1748006XJRR309     Document Type: Article

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