Titlebook: Discrete Event Systems; Diagnosis and Diagno Moamar Sayed-Mouchaweh Book 2014 Author 2014 Complex system modeling.Diagnosability analysis.D

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書目名稱Discrete Event Systems影響因子(影響力)




書目名稱Discrete Event Systems影響因子(影響力)學(xué)科排名




書目名稱Discrete Event Systems網(wǎng)絡(luò)公開度




書目名稱Discrete Event Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Discrete Event Systems被引頻次




書目名稱Discrete Event Systems被引頻次學(xué)科排名




書目名稱Discrete Event Systems年度引用




書目名稱Discrete Event Systems年度引用學(xué)科排名




書目名稱Discrete Event Systems讀者反饋




書目名稱Discrete Event Systems讀者反饋學(xué)科排名

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搖晃

2191-8112 udes real-world examples in various application domains and Discrete Event Systems: Diagnosis and Diagnosability addresses the problem of fault diagnosis of Discrete Event Systems (DESs). This book provides the basic techniques and approaches necessary for the design of an efficient fault diagnosis

遵循的規(guī)范

Book 2014 basic techniques and approaches necessary for the design of an efficient fault diagnosis system for a wide range of modern engineering applications. This book classifies the different techniques and approaches according to several criteria such as: modeling tools (Automata, Petri nets, Templates) t

grudging

https://doi.org/10.1007/978-1-4615-4765-5ion of fault diagnosis methods of discrete event systems according to model description tool (Automata, Petri nets), fault representation and inference (event based, state based) and diagnosis processing structure (centralized, decentralized, distributed).

青石板

https://doi.org/10.1007/978-1-4615-4765-5event-based approaches of centralized diagnosis of discrete event systems: diagnoser and supervision pattern approaches. In these approaches, the system is represented (modeled) by an automaton in order to achieve or to solve the problem of diagnosis based on the use of a centralized processing stru

青石板

https://doi.org/10.1007/978-1-4615-4765-5entralized diagnosis approaches into two main categories: 1) the approaches using a global model in order to construct the local diagnosers and 2) the approaches using local models in order to construct the local diagnosers. Each of these two categories is divided into two main subcategories: the ap

Blatant

William D. Bursuck,Madhavi Jayanthit systems. The use of one of these methods depends on the application context and objectives. Therefore, this chapter compares these methods according to the three main criteria: system size, the co-diagnosability properties that can be verified and the kind of applications that they can be used for

談判

Introduction to the Diagnosis of Discrete Event Systems,ion of fault diagnosis methods of discrete event systems according to model description tool (Automata, Petri nets), fault representation and inference (event based, state based) and diagnosis processing structure (centralized, decentralized, distributed).

Credence

Centralized Diagnosis of Discrete Event Systems,event-based approaches of centralized diagnosis of discrete event systems: diagnoser and supervision pattern approaches. In these approaches, the system is represented (modeled) by an automaton in order to achieve or to solve the problem of diagnosis based on the use of a centralized processing structure.