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A comparison of model-based reasoning and learning approaches to power transmission fault diagnosis
(IEEE Computer Society Press, 1995-11)
An application of model-based reasoning and model-based learning to an operative diagnostic domain such as electrical power transmission networks is presented. Most of the research in model-based diagnosis is based on ...
Modelling of energy consumption in wheat production using neural networks: case study in Canterbury province, New Zealand
(World Academy of Science, Engineering and Technology, 2010)
An artificial neural network (ANN) approach was
used to model the energy consumption of wheat production. This
study was conducted over 35,300 hectares of irrigated and dry land
wheat fields in Canterbury in the 2007-2008 ...
Nature of knot checks developed during seasoning of radiata pine sawn boards
(Lincoln University. Centre for Computing and Biometrics, 1996-10)
One hundred and sixty radiata pine boards were dried using different methods (air drying, commercial kiln drying and laboratory kiln drying) to study the effect of knot, wood and seasoning variables on the nature of knot ...
Study of Mode-I and Mixed-Mode fracture in wood using digital image correlation method
(Lincoln University. Centre for Computing and Biometrics, 1996-10)
This paper presents results of an investigation conducted to study displacement and strain field surrounding a crack tip in timber in tension using the
Digital Image Correlation (DIC) technique. Opening mode fracture was ...
Resilience models for New Zealand's alpine skiers based on people's knowledge and experience: a mixed method and multi-step fuzzy cognitive mapping approach
(Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation, 2009-07)
Artificial Neural Networks (ANN) as a tool offers opportunities for modeling the inherent complexity and uncertainty associated with socio-environmental systems. This study draws on New Zealand ski
fields (multiple locations) ...
Study of fracture properties of wood using high-speed video imaging and neural networks
(Lincoln University. Applied Computing, Mathematics and Statistics Group, 2002-04)
In this study, the Duration of Load (DOL) for crack initiation and propagation, crack speed, and load
carrying capacity were investigated for three Rates of Loading (ROL) and four sizes of notched wood
beams using high-speed ...
A hybrid artificial neural networks approach to solve the inverse problem in advection-dispersion models
(Lincoln University. Applied Computing, Mathematics and Statistics Group, 2002-04)
Knowledge based jitter analysis in power system control
(IEEE, 1995-01)
This paper presents the development of an expert system TPAISA for fault analysis of analog problems in power system control. The objectives are to identify the problem analogs and to establish the fault diagnosis for each ...
A co-operative hybrid algorithm for fault diagnosis in power transmission
(IEEE, 2000-01)
This paper presents our co-operative hybrid algorithm for fault diagnosis in power transmission networks. When a fault occurs in a transmission network, it must be identified and eliminated as soon as possible. Since control ...
An orthotropic model for heat transfer in Pinus radiata in low temperature kiln-drying
(Lincoln University. Applied Computing, Mathematics and Statistics Group, 1999-05)
During drying, heat and mass transport in timber results in deformation. Heat transport in timber has long been an important topic in drying technology. In this paper, Lykov's formulas, which were originally developed for ...