A MACHINE LEARNING NOX EMISSION MODEL FOR SCR SYSTEM CONSIDERING MECHANISM KNOWLEDGE AND CATALYST DEACTIVATION

A machine learning NOx emission model for SCR system considering mechanism knowledge and catalyst deactivation

In this work, an adaptive NOx emission model is proposed for a SCR system of a 660 MW utility boiler.First, 3-years operating data was collected from the plant SIS system as raw data, which was then filtered using the R-statistic method and clustered by the condensed nearest neighbor DIESEL PROTEIN BANANA (CNN) rule to form a classified steady-stat

read more

Analysis of the Antagonistic Arrangement of Pneumatic Muscles Inspired by a Biological Model of the Human Arm

Technical solutions based on biological models are the subject of research by a wide range of experts and mainly concern their mechanical use.When designing a suitable actuator, they use the physical methods of biological representatives, of which a large group consists of actuators generally referred to as artificial muscles, while another group u

read more



Species diversity and chemical properties of litter influence non-additive effects of litter mixtures on soil carbon and nitrogen cycling.

Decomposition of litter mixtures generally cannot be predicted from the component species incubated in isolation.Therefore, such non-additive effects of litter mixing on soil C and N dynamics remain poorly understood in terrestrial ecosystems.In this study, litters of Mongolian pine and three dominant understory species and soil were collected from

read more