Application of wavelet thresholding filter to improve multi-step ahead prediction model for hydraulic system

Advanced Materials Research

Volumn 488-489, Issue , 2012, Pages 1783-1787

  Safehian, Javad ^a   Akbarzadeh, Alireza ^a   Motakef Imani, Behnam ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

Fault prognosis; Hydraulic system; Multi step ahead prediction model; Neural network; Universal thresholding; Wavelet transform

Indexed keywords

ALARM LEVEL; APPLIED FORCES; CAO'S METHOD; EMBEDDING DIMENSIONS; EXPERIMENTAL DATA; FATIGUE TEST MACHINE; FATIGUE TESTS; FAULT PROGNOSIS; HYDRAULIC SYSTEM; MACHINE FAULTS; MULTI-STEP; MUTUAL INFORMATIONS; OPERATING CONDITION; PREDICTION MODEL; SHARP EDGES; SOFT THRESHOLDING; SYSTEM FAILURES; UNIVERSAL THRESHOLDING; WAVELET THRESHOLDING;

DIAGNOSIS; FATIGUE TESTING; MATHEMATICAL MODELS; NEURAL NETWORKS; SAFETY ENGINEERING; TIME SERIES; WAVELET TRANSFORMS;

HYDRAULIC EQUIPMENT;

EID: 84859073639     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.488-489.1783     Document Type: Conference Paper

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