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標(biāo)題: Titlebook: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems; Steven X. Ding Book 2014 Springer-Verlag London 2014 Data-driven [打印本頁]

作者: patch-test    時(shí)間: 2025-3-21 17:32
書目名稱Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems影響因子(影響力)




書目名稱Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems影響因子(影響力)學(xué)科排名




書目名稱Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems網(wǎng)絡(luò)公開度




書目名稱Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems被引頻次




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書目名稱Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems年度引用學(xué)科排名




書目名稱Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems讀者反饋




書目名稱Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems讀者反饋學(xué)科排名





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https://doi.org/10.1007/978-3-642-84186-6onitoring schemes. The objective of introducing these application examples in the first part of this book, immediately after . is to provide the reader with the useful application background and understandings of some basic technical concepts in the process monitoring and fault diagnosis field.
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Fault-Tolerant Control Architecture and Design Issuestems can be observed. The research activities in these fields are strongly driven by the enhanced industrial demands for system reliability and availability, in particular when the systems are embedded in safety relevant plants like aeroplanes, vehicles or robots.
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作者: Spongy-Bone    時(shí)間: 2025-3-23 10:13
Concise Reader of Chinese Literature History and their degree of automation is significantly growing. This development calls for more system reliability, dependability and safety. Associated with this, process monitoring, diagnosis and fault-tolerant control receive considerably enhanced attention, both in the engineering and research domains.
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Springer Studies in Alternative Economicsonical correlation analysis (CCA) is a further MVA method, which is also, in particular in the control community, known as canonical variate analysis (CVA) and recognized as a standard method for system identification.
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作者: Optic-Disk    時(shí)間: 2025-3-24 16:47
Steven X. DingGives the reader a framework of data-driven process monitoring and control techniques, helping them becoming familiar with the basic ideas and schemes in this area in a systematic way.Provides the rea
作者: 迅速成長    時(shí)間: 2025-3-24 21:14
Advances in Industrial Controlhttp://image.papertrans.cn/d/image/263330.jpg
作者: 讓你明白    時(shí)間: 2025-3-25 02:37
Basic Statistical Fault Detection Problemsc issues, ideas and solution tools in dealing with fault detection issues. They are useful for our subsequent study. At the end of this chapter, two variations of the essential fault detection problem are then introduced.
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作者: 我就不公正    時(shí)間: 2025-3-25 09:49
Canonical Variate Analysis Based Process Monitoring and Fault Diagnosisonical correlation analysis (CCA) is a further MVA method, which is also, in particular in the control community, known as canonical variate analysis (CVA) and recognized as a standard method for system identification.
作者: Pageant    時(shí)間: 2025-3-25 12:39
Introduction, Preliminaries and I/O Data Set Models domains. Thanks to their intimate relations to automatic control systems, model-based schemes are widely accepted as a powerful technology in dealing with process monitoring and fault diagnosis for dynamic processes.
作者: 刺耳    時(shí)間: 2025-3-25 16:17
Economics of Justice and Peace in the WorldPrincipal component analysis (PCA) is a basic method of multivariate analysis (MVA) and plays, both in the research and application domains, an important role.
作者: 外來    時(shí)間: 2025-3-25 21:29
Springer Studies in Alternative EconomicsRoughly speaking, partial least squares (PLS) regression is a multivariate analysis method that constructs a linear regression between two data sets expressed in form of data matrices.
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作者: 有花    時(shí)間: 2025-3-26 04:22
J. A. Canul-Polanco,O. M. JensenThe key of data-driven fault diagnosis schemes consists in a direct identification of key fault detection statistics like covariance matrices applied in the MVA or SIM based methods.
作者: 親密    時(shí)間: 2025-3-26 09:18
IMP: A Simple Imperative LanguageIn the previous chapter, we have introduced the fault-tolerant architecture and the associated design parameters. In this chapter, we focus on the data-driven design of the state feedback gain matrix, an H-PRIO parameter of the fault-tolerant architecture, and its application to the observer-based control schemes.
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作者: enlist    時(shí)間: 2025-3-26 17:55
Application of Partial Least Squares Regression to Fault DiagnosisRoughly speaking, partial least squares (PLS) regression is a multivariate analysis method that constructs a linear regression between two data sets expressed in form of data matrices.
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作者: 新奇    時(shí)間: 2025-3-27 04:14
Adaptive Fault Diagnosis SchemesThe key of data-driven fault diagnosis schemes consists in a direct identification of key fault detection statistics like covariance matrices applied in the MVA or SIM based methods.
作者: 上坡    時(shí)間: 2025-3-27 07:44
Data-Driven Design of Observer-Based Control SystemsIn the previous chapter, we have introduced the fault-tolerant architecture and the associated design parameters. In this chapter, we focus on the data-driven design of the state feedback gain matrix, an H-PRIO parameter of the fault-tolerant architecture, and its application to the observer-based control schemes.
作者: atrophy    時(shí)間: 2025-3-27 11:43
https://doi.org/10.1007/978-1-4471-6410-4Data-driven Techniques; Fault Detection and Isolation; Fault Diagnosis; Fault-tolerant Systems; Process
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https://doi.org/10.1007/978-3-642-84186-6hemes presented and studied in this book. The first two are real laboratory control systems, which are widely used both in the model-based and data-driven fault diagnosis research. The third one is a benchmark process that is mainly applied for the test and demonstration of data-driven control and m
作者: Spinal-Fusion    時(shí)間: 2025-3-28 05:33
https://doi.org/10.1007/978-3-642-84186-6c issues, ideas and solution tools in dealing with fault detection issues. They are useful for our subsequent study. At the end of this chapter, two variations of the essential fault detection problem are then introduced.
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Incorrect Selection of Constituent Materials the online computation, we present, in this chapter, schemes for the construction/realization of observer-based fault diagnosis systems with the aid of the data-driven realization of kernel representation . given in Algorithm?9.3. As known, observer-based residual generators are closed-loop configu
作者: 惰性氣體    時(shí)間: 2025-3-29 00:46
IMP: A Simple Imperative Languagessues. The essential idea behind these adaptive methods is the real-time update of the parameters in the monitoring and detection system to match the possible changes in the process under monitoring. This idea is realized in the form of recursive algorithms. In this chapter, we address a different i
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Introductionmands for high production and product quality as well as for economic and ecological operations, today’s industrial processes have become more complex and their degree of automation is significantly growing. This development calls for more system reliability, dependability and safety. Associated wit
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Case Study and Application Exampleshemes presented and studied in this book. The first two are real laboratory control systems, which are widely used both in the model-based and data-driven fault diagnosis research. The third one is a benchmark process that is mainly applied for the test and demonstration of data-driven control and m
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