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Anglický jazyk
Model-Based Fault Diagnosis Techniques
Autor: Steven X. Ding
Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection... Viac o knihe
Na objednávku
150.03 €
bežná cena: 170.49 €
O knihe
Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools.
This second edition of Model-Based Fault Diagnosis Techniques contains:
. new material on fault isolation and identification and alarm management;
. extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises;
. addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and
. enhanced discussion of residual evaluation which now deals with stochastic processes.
Model-based Fault Diagnosis Techniques will interest academic researchers working in fault identification and diagnosis and as a text it is suitable for graduate students in a formal university-based course or as a self-study aid for practising engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.
- Vydavateľstvo: Springer London
- Rok vydania: 2015
- Formát: Paperback
- Rozmer: 235 x 155 mm
- Jazyk: Anglický jazyk
- ISBN: 9781447161110
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