Autor/Autorin: Musulin Estanislao
Estanislao Musulin is an electrical engineer with extensive experience in plant information and process monitoring systems. Since 2009 he is a researcher at CIFASIS-CONICET and associate professor at UNR, Argentina. He worked five years developing software for the petrochemical industry. In 2005, he defended his PhD thesis at the UPC, Barcelona.
In the last decade the interest on monitoring systems has increased following the demand of better management of the plants according to more restrictive economical and environmental conditions. As a consequence, the number of accidents has been reduced and the economical performance of process plants has been improved. Despite a promising start towards hybrid fault diagnosis systems (i.e., systems that integrate more than one monitoring methodology) the continuous increase in the complexity of the chemical processes generates the necessity of faster and more robust monitoring systems. In addition, an important direction for research is the integration of diagnostic tasks with other process operations such as sensor location, regulatory control, data reconciliation and supervisory control. Besides, in batch and semi-continuous processes, a fault diagnosis system should be integrated with higher levels of plant information such as the planning and scheduling activities. This book addresses the process monitoring problem from an integrated perspective, considering all the designed methodologies into an advanced plant information system framework.
In the last decade the interest on monitoring systems has increased following the demand of better management of the plants according to more restrictive economical and environmental conditions. As a consequence, the number of accidents has been reduced and the economical performance of process plants has been improved. Despite a promising start towards hybrid fault diagnosis systems (i.e., systems that integrate more than one monitoring methodology) the continuous increase in the complexity of the chemical processes generates the necessity of faster and more robust monitoring systems. In addition, an important direction for research is the integration of diagnostic tasks with other process operations such as sensor location, regulatory control, data reconciliation and supervisory control. Besides, in batch and semi-continuous processes, a fault diagnosis system should be integrated with higher levels of plant information such as the planning and scheduling activities. This book addresses the process monitoring problem from an integrated perspective, considering all the designed methodologies into an advanced plant information system framework.
Über den Autor
Estanislao Musulin is an electrical engineer with extensive experience in plant information and process monitoring systems. Since 2009 he is a researcher at CIFASIS-CONICET and associate professor at UNR, Argentina. He worked five years developing software for the petrochemical industry. In 2005, he defended his PhD thesis at the UPC, Barcelona.
Klappentext
In the last decade the interest on monitoring systems has increased following the demand of better management of the plants according to more restrictive economical and environmental conditions. As a consequence, the number of accidents has been reduced and the economical performance of process plants has been improved. Despite a promising start towards hybrid fault diagnosis systems (i.e., systems that integrate more than one monitoring methodology) the continuous increase in the complexity of the chemical processes generates the necessity of faster and more robust monitoring systems. In addition, an important direction for research is the integration of diagnostic tasks with other process operations such as sensor location, regulatory control, data reconciliation and supervisory control. Besides, in batch and semi-continuous processes, a fault diagnosis system should be integrated with higher levels of plant information such as the planning and scheduling activities. This book addresses the process monitoring problem from an integrated perspective, considering all the designed methodologies into an advanced plant information system framework.
