Results 81 to 90 of about 2,583,502 (287)
Subspace Identification and ARX Modeling
, 2003 In this paper we present a new identification method that points at the closerelationship between high order ARX modeling and subspace identification.
Jansson, Magnus,
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Advanced Intelligent Discovery, EarlyView.This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality [PDF]
, 2004 A new robust neurofuzzy model construction algorithm has been introduced for the modeling of a priori unknown dynamical systems from observed finite data sets in the form of a set of fuzzy rules.
Harris, C. J. +3 more
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A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
A new fault diagnosis approach for the pitch system of wind turbines
Advances in Mechanical Engineering, 2017 To diagnose the fault in the pitch actuator of wind turbines which causes the change in pitch angles, a fault diagnosis method is proposed in this study.
Dinghui Wu, Wen Liu
doaj +1 more source
Blind multivariable ARMA subspace identification
Automatica, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu, C. (author) +1 more
openaire +4 more sources
Advanced Intelligent Discovery, EarlyView.This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Subspace-based damage identification of roller bearing
MATEC Web of Conferences, 2015 This study presents a frequency-band subspace-based damage identification method for faults diagnosis in roller bearing. The main purpose is to obtain damage sensitive indicators in the frequency range where a damage is expected to appear.
Gautier G., Serra R., Mencik J.-M.
doaj +1 more source
A CUSUM test with sliding reference for ground resonance monitoring [PDF]
, 2011 Ground resonance is potentially destructive oscillations that may develop on helicopters rotors when the aircraft is on or near the ground. Therefore, this unstable phenomenon has to be detected before it occurs in order to be avoided by the pilot.
Jhinaoui, Ahmed +2 more
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