in this study, detection and identification of common faults in industrial gas turbines is investigated. we propose a model-based robust fault detection(fd) method based on multiple models. for residual generation a bank of local linear neuro-fuzzy (llnf) models is used. moreover, in fault detection step, a passive approach based on adaptive threshold is employed. to achieve this purpose, the a...

introduction: peripheral nerve injury leads to neuropathic pain syndromes and different sensation like allodynia and hyperalgesia. different animal models of neuropathic pain are used to study the neuropathic pain mechanisms. the present study was performed on two models, (sni). the purpose of this study was comparing the behavioral responses of yhese two models and the role of saphenous and su...

abstract accurate prediction of hourly minimum temperature is required for various crop models which simulate photosynthesis and transpiration. such data can be used for crop protection and reducing the crops injuries due to freezing as well. our objective of this study is employing trigonometric and pattern recognition (k-nn) approaches to evaluate their potential in prediction of hourly tempe...

gilan province is among the most important regions of iran for rice production. the general aim of this research is to determine the best variety of rice for planting, so that the minimum level for farmer's expected living gross margin can be provided. on the other hand, determining the best variety with regard to the risk in price is another aim of this research. to this end two risk models ba...

the solubility of co2 in the primary, secondary, tertiary and sterically hindered amine aqueous solutions at various conditions was studied. in the present work, the modified kent-eisenberg (m-ke), the extended debye-hückel (e-dh) and the pitzer models were employed to study the solubility of co2 in amine aqueous solutions. two explicit equations are presented to evaluate the concentration of h...