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Smart Process Analytics for Process Monitoring
Computers & Chemical EngineeringProcess monitoring is critical to ensuring product quality and efficient, safe process operation. Data-driven modeling is used in the process industries to build fault detection systems. No single data-driven modeling method provides the best fault detection performance for all process systems, and the selection of the best data-driven modeling method ...
Fabian Mohr +3 more
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Monitoring for Digital Preservation of Processes
2011Digital Preservation is an important challenge for the information society. Reliable information and communication technology is crucial for most companies and software failure, is a considerable risk. Use of technologies such as Software as a Service (SaaS) and Internet of Services (IoS) means that business processes are increasingly supported by ...
Martin Alexander Neumann +4 more
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This contribution presents up-to-date monitoring techniques for selected geomorphological processes, i.e., fluvial processes, debris flows, landslides, and glacial and periglacial processes.
GADSBY MARTIN, SAMUELS JONIQUE
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GADSBY MARTIN, SAMUELS JONIQUE
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A Process Oriented Monitoring Framework
Journal of Systems Integration, 1998Quality of product is an important consideration in engineering design activity, certain levels of which can be obtained by utilizing the available resources. Traditionally, a demand for increased levels of quality in the product required the deployment of additional resources.
Coskun Bayrak, Murat M. Tanik
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2017
Abstract In the practical world of policymaking and implementation, knowledge about a treaty partner's compliance with the terms of an agreement is essential. Without information about the behaviour of the other party, each side has good reasons to defect from the agreement; anticipating this dynamic, both parties may fail to reach an ...
Timm Betz, Barbara Koremenos
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Abstract In the practical world of policymaking and implementation, knowledge about a treaty partner's compliance with the terms of an agreement is essential. Without information about the behaviour of the other party, each side has good reasons to defect from the agreement; anticipating this dynamic, both parties may fail to reach an ...
Timm Betz, Barbara Koremenos
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Monitoring of an antigen manufacturing process
Bioprocess and Biosystems Engineering, 2016Fluorescence spectroscopy in combination with multivariate statistical methods was employed as a tool for monitoring the manufacturing process of pertactin (PRN), one of the virulence factors of Bordetella pertussis utilized in whopping cough vaccines. Fluorophores such as amino acids and co-enzymes were detected throughout the process.
Vanessa, Zavatti +3 more
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Monitoring and Diagnosis of a Grinding Process
IFAC Proceedings Volumes, 1991Abstract A rational and reliable (i.e. experimentally grounded) approach to the advanced monitoring and diagnostics of coal pulverizers is presented in this paper. Two different forms of the dynamic model of the grinding process are proposed: a simulation model, exactly accounting for the distributed nature of the grinding process and for the various
G. Ferretti, C. Maffezzoni
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Event-based process monitoring
Engineering Applications of Artificial Intelligence, 2007This article presents an efficient Intelligent Supervision System (ISS) architecture for the monitoring of a plant. The ISS detects relevant events which are later used to identify the state of the plant. The ISS layered structure implements the sliding window paradigm to detect significative events from measured signals.
Ramon Sarrate +2 more
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Process Design and Process Monitoring
2011The further development of workpiece materials and cutting tool materials and the increasing automation of machine tools demand an occasional correction of machining standard values.
Fritz Klocke, Aaron Kuchle
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Semantics and verification of monitors and systems of monitors and processes
Distributed Computing, 1988We present a sound and complete semantics for the monitor concepts of C. A. R. Hoare. First a method for specification of monitors, introduced by O.-J. Dahl, is reviewed. This method is based on the relation between the historic sequence of monitor procedure calls and the historic sequence of monitor procedure exits.
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