Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques
Safety in industrial process and production plants is a concern of rising importance, especially if people would be endangered by a catastrophic system failure. On the other hand, because the control devices which are now exploited to improve the overall performance of industrial processes include b...
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| Schriftenreihe: | Advances in Industrial Control
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| 520 | |a Safety in industrial process and production plants is a concern of rising importance, especially if people would be endangered by a catastrophic system failure. On the other hand, because the control devices which are now exploited to improve the overall performance of industrial processes include both sophisticated digital system design techniques and complex hardware (input-output sensors, actuators, components and processing units), there is an increased probability of failure. As a direct consequence of this, control systems must include automatic supervision of closed-loop operation to detect and isolate malfunctions as early as possible. One of the most promising methods for solving this problem is the "analytical redundancy" approach, in which residual signals are obtained. The basic idea consists of using an accurate model of the system to mimic the real process behaviour. | ||
| 520 | |a If a fault occurs, the residual signal, i.e., the difference between real system and model behaviours, can be used to diagnose and isolate the malfunction. This book focuses on model identification oriented to the analytical approach of fault diagnosis and identification. The problem is treated in all its aspects covering: • choice of model structure; • parameter identification; • residual generation; • fault diagnosis and isolation. Sample case studies are used to demonstrate the application of these techniques. Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques will be of interest to researchers in control and fault identification. Industrial control engineers interested in applying the latest methods in fault diagnosis will benefit from the practical examples and case studies. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. | ||
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Datensatz im Suchindex
| _version_ | 1804178819342401536 |
|---|---|
| any_adam_object | |
| author | Simani, Silvio Fantuzzi, Cesare Patton, Ronald Jon |
| author_facet | Simani, Silvio Fantuzzi, Cesare Patton, Ronald Jon |
| author_role | aut aut aut |
| author_sort | Simani, Silvio |
| author_variant | s s ss c f cf r j p rj rjp |
| building | Verbundindex |
| bvnumber | BV045148786 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-1-4471-3829-7 (OCoLC)1184505428 (DE-599)BVBBV045148786 |
| dewey-full | 629.8 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8 |
| dewey-search | 629.8 |
| dewey-sort | 3629.8 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| doi_str_mv | 10.1007/978-1-4471-3829-7 |
| format | Electronic eBook |
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| id | DE-604.BV045148786 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:02Z |
| institution | BVB |
| isbn | 9781447138297 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030538485 |
| oclc_num | 1184505428 |
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| owner | DE-573 DE-634 |
| owner_facet | DE-573 DE-634 |
| physical | 1 Online-Ressource (XV, 282 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_2000/2004 ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 2003 |
| publishDateSearch | 2003 |
| publishDateSort | 2003 |
| publisher | Springer London |
| record_format | marc |
| series2 | Advances in Industrial Control |
| spelling | Simani, Silvio Verfasser aut Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by Silvio Simani, Cesare Fantuzzi, Ronald Jon Patton London Springer London 2003 1 Online-Ressource (XV, 282 p) txt rdacontent c rdamedia cr rdacarrier Advances in Industrial Control Safety in industrial process and production plants is a concern of rising importance, especially if people would be endangered by a catastrophic system failure. On the other hand, because the control devices which are now exploited to improve the overall performance of industrial processes include both sophisticated digital system design techniques and complex hardware (input-output sensors, actuators, components and processing units), there is an increased probability of failure. As a direct consequence of this, control systems must include automatic supervision of closed-loop operation to detect and isolate malfunctions as early as possible. One of the most promising methods for solving this problem is the "analytical redundancy" approach, in which residual signals are obtained. The basic idea consists of using an accurate model of the system to mimic the real process behaviour. If a fault occurs, the residual signal, i.e., the difference between real system and model behaviours, can be used to diagnose and isolate the malfunction. This book focuses on model identification oriented to the analytical approach of fault diagnosis and identification. The problem is treated in all its aspects covering: • choice of model structure; • parameter identification; • residual generation; • fault diagnosis and isolation. Sample case studies are used to demonstrate the application of these techniques. Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques will be of interest to researchers in control and fault identification. Industrial control engineers interested in applying the latest methods in fault diagnosis will benefit from the practical examples and case studies. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control Engineering Control Electronics and Microelectronics, Instrumentation Quality Control, Reliability, Safety and Risk Mechanical Engineering Vibration, Dynamical Systems, Control Vibration Dynamical systems Dynamics Mechanical engineering Control engineering Quality control Reliability Industrial safety Electronics Microelectronics Prozessüberwachung (DE-588)4133922-8 gnd rswk-swf Gasturbinenanlage (DE-588)4125128-3 gnd rswk-swf Dynamisches System (DE-588)4013396-5 gnd rswk-swf Prozessregelung (DE-588)4222919-4 gnd rswk-swf Fehlererkennung (DE-588)4133764-5 gnd rswk-swf Systemidentifikation (DE-588)4121753-6 gnd rswk-swf Dynamisches System (DE-588)4013396-5 s Systemidentifikation (DE-588)4121753-6 s Fehlererkennung (DE-588)4133764-5 s Gasturbinenanlage (DE-588)4125128-3 s Prozessüberwachung (DE-588)4133922-8 s Prozessregelung (DE-588)4222919-4 s 1\p DE-604 Fantuzzi, Cesare aut Patton, Ronald Jon aut Erscheint auch als Druck-Ausgabe 9781849968959 https://doi.org/10.1007/978-1-4471-3829-7 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Simani, Silvio Fantuzzi, Cesare Patton, Ronald Jon Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques Engineering Control Electronics and Microelectronics, Instrumentation Quality Control, Reliability, Safety and Risk Mechanical Engineering Vibration, Dynamical Systems, Control Vibration Dynamical systems Dynamics Mechanical engineering Control engineering Quality control Reliability Industrial safety Electronics Microelectronics Prozessüberwachung (DE-588)4133922-8 gnd Gasturbinenanlage (DE-588)4125128-3 gnd Dynamisches System (DE-588)4013396-5 gnd Prozessregelung (DE-588)4222919-4 gnd Fehlererkennung (DE-588)4133764-5 gnd Systemidentifikation (DE-588)4121753-6 gnd |
| subject_GND | (DE-588)4133922-8 (DE-588)4125128-3 (DE-588)4013396-5 (DE-588)4222919-4 (DE-588)4133764-5 (DE-588)4121753-6 |
| title | Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques |
| title_auth | Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques |
| title_exact_search | Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques |
| title_full | Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by Silvio Simani, Cesare Fantuzzi, Ronald Jon Patton |
| title_fullStr | Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by Silvio Simani, Cesare Fantuzzi, Ronald Jon Patton |
| title_full_unstemmed | Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques by Silvio Simani, Cesare Fantuzzi, Ronald Jon Patton |
| title_short | Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques |
| title_sort | model based fault diagnosis in dynamic systems using identification techniques |
| topic | Engineering Control Electronics and Microelectronics, Instrumentation Quality Control, Reliability, Safety and Risk Mechanical Engineering Vibration, Dynamical Systems, Control Vibration Dynamical systems Dynamics Mechanical engineering Control engineering Quality control Reliability Industrial safety Electronics Microelectronics Prozessüberwachung (DE-588)4133922-8 gnd Gasturbinenanlage (DE-588)4125128-3 gnd Dynamisches System (DE-588)4013396-5 gnd Prozessregelung (DE-588)4222919-4 gnd Fehlererkennung (DE-588)4133764-5 gnd Systemidentifikation (DE-588)4121753-6 gnd |
| topic_facet | Engineering Control Electronics and Microelectronics, Instrumentation Quality Control, Reliability, Safety and Risk Mechanical Engineering Vibration, Dynamical Systems, Control Vibration Dynamical systems Dynamics Mechanical engineering Control engineering Quality control Reliability Industrial safety Electronics Microelectronics Prozessüberwachung Gasturbinenanlage Dynamisches System Prozessregelung Fehlererkennung Systemidentifikation |
| url | https://doi.org/10.1007/978-1-4471-3829-7 |
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