A multi-step predictor with a variable input pattern for system state forecasting

Mechanical Systems and Signal Processing

Volumn 23, Issue 5, 2009, Pages 1586-1599

  Liu, Jie ^a   Wang, Wilson ^b   Golnaraghi, Farid ^c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b LAKEHEAD UNIVERSITY   (Canada)

^c SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Adaptive neuro fuzzy (ANF) system; Adaptive training; Machinery condition monitoring; Multi step prediction

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; CURVE FITTING; FORECASTING; MACHINERY; RECURSIVE FUNCTIONS; TIME VARYING SYSTEMS;

ADAPTIVE NEURO-FUZZY (ANF) SYSTEM; ADAPTIVE PREDICTORS; ADAPTIVE TRAINING; BENCHMARK DATUM; DYNAMIC SYSTEMS; EXPERIMENTAL DATUM; FORECASTING PERFORMANCE; FORECASTING TOOLS; HYBRID TRAININGS; INPUT PATTERNS; LEVENBERG-MARQUARDT ALGORITHMS; MACHINERY CONDITION MONITORING; MULTI STEPS; MULTI-STEP PREDICTION; RECURSIVE LEAST SQUARES; SYSTEM STATE; TRACK SYSTEMS;

CONDITION MONITORING;

EID: 63449119191     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2008.09.006     Document Type: Article

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