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 ...

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 ...

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 ...

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 ...

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) ...

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 ...

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 ...

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 ...

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 ...