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Model-on-Demand Algorithm for Fault Isolation in Complex Technical Systems - Hajrudin Efendic
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Hajrudin Efendic:
Model-on-Demand Algorithm for Fault Isolation in Complex Technical Systems - gebunden oder broschiert

ISBN: 9783854999867

ID: 9783854999867

The permanent increase in size and complexity of the modern technical systems generates increasing demands on process control and monitoring, as well as on fault diagnosis (fault detection and isolation) as a specific monitoring task. The existing fault is isolation algorithms have become computationally very challenging and most of them face the isolability problem. the dual algorithm proposed in this thesis targets the isolability problem in order to improve the fault diagnosis performance metrics. The Weighted Sequential Fault Diagnosis algorithm improves both steps in fault diagnosis by using the information about the relative degrees of influence of process variables to modify the model structural matrices, yet without altering the model structures themselves. The Model-on-Demand algorithm for fault isolations utilizes a reverse modeling approach to modify the used model structres in order to directly improve the isolability property. The efficiency of the proposed algorithm has been successfully verified through its experimental application in two different large-scale technical systems. Model-on-Demand Algorithm for Fault Isolation in Complex Technical Systems: The permanent increase in size and complexity of the modern technical systems generates increasing demands on process control and monitoring, as well as on fault diagnosis (fault detection and isolation) as a specific monitoring task. The existing fault is isolation algorithms have become computationally very challenging and most of them face the isolability problem. the dual algorithm proposed in this thesis targets the isolability problem in order to improve the fault diagnosis performance metrics. The Weighted Sequential Fault Diagnosis algorithm improves both steps in fault diagnosis by using the information about the relative degrees of influence of process variables to modify the model structural matrices, yet without altering the model structures themselves. The Model-on-Demand algorithm for fault isolations utilizes a reverse modeling approach to modify the used model structres in order to directly improve the isolability property. The efficiency of the proposed algorithm has been successfully verified through its experimental application in two different large-scale technical systems., Trauner Verlag

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Model-on-Demand Algorithm for Fault Isolation in Complex Technical Systems - Hajrudin Efendic
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2013, ISBN: 3854999860

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[EAN: 9783854999867], Neubuch, [SC: 32.25], [PU: Trauner Verlag Jan 2013], Neuware - The permanent increase in size and complexity of the modern technical systems generates increasing demands on process control and monitoring, as well as on fault diagnosis (fault detection and isolation) as a specific monitoring task. The existing fault is isolation algorithms have become computationally very challenging and most of them face the isolability problem. the dual algorithm proposed in this thesis targets the isolability problem in order to improve the fault diagnosis performance metrics. The Weighted Sequential Fault Diagnosis algorithm improves both steps in fault diagnosis by using the information about the relative degrees of influence of process variables to modify the model structural matrices, yet without altering the model structures themselves. The Model-on-Demand algorithm for fault isolations utilizes a reverse modeling approach to modify the used model structres in order to directly improve the isolability property. The efficiency of the proposed algorithm has been successfully verified through its experimental application in two different large-scale technical systems. 190 pp. Englisch

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Model-on-Demand Algorithm for Fault Isolation in Complex Technical Systems - Hajrudin Efendic
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Hajrudin Efendic:
Model-on-Demand Algorithm for Fault Isolation in Complex Technical Systems - neues Buch

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[ED: Buch], [PU: Trauner Verlag], Neuware - The permanent increase in size and complexity of the modern technical systems generates increasing demands on process control and monitoring, as well as on fault diagnosis (fault detection and isolation) as a specific monitoring task. The existing fault is isolation algorithms have become computationally very challenging and most of them face the isolability problem. the dual algorithm proposed in this thesis targets the isolability problem in order to improve the fault diagnosis performance metrics. The Weighted Sequential Fault Diagnosis algorithm improves both steps in fault diagnosis by using the information about the relative degrees of influence of process variables to modify the model structural matrices, yet without altering the model structures themselves. The Model-on-Demand algorithm for fault isolations utilizes a reverse modeling approach to modify the used model structres in order to directly improve the isolability property. The efficiency of the proposed algorithm has been successfully verified through its experimental application in two different large-scale technical systems., [SC: 0.00], Neuware, gewerbliches Angebot, FixedPrice, [GW: 340g]

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Model-on-Demand Algorithm for Fault Isolation in Complex Technical Systems - Efendic, Hajrudin
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Model-on-Demand Algorithm for Fault Isolation in Complex Technical Systems - gebunden oder broschiert

2013, ISBN: 9783854999867

[ED: Gebunden], [PU: Trauner Verlag], DE, [SC: 0.00], Neuware, gewerbliches Angebot, 190, [GW: 328g], 1

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Model-on-Demand Algorithm for Fault Isolation in Complex Technical Systems - Efendic, Hajrudin
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ISBN: 3854999860

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Detailangaben zum Buch - Model-on-Demand Algorithm for Fault Isolation in Complex Technical Systems


EAN (ISBN-13): 9783854999867
ISBN (ISBN-10): 3854999860
Gebundene Ausgabe
Erscheinungsjahr: 2013
Herausgeber: Trauner Verlag Jan 2013

Buch in der Datenbank seit 06.04.2014 15:29:30
Buch zuletzt gefunden am 12.07.2017 14:35:19
ISBN/EAN: 9783854999867

ISBN - alternative Schreibweisen:
3-85499-986-0, 978-3-85499-986-7


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