Name: Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools (en Inglés)
Price: 3631.60 MXN
Availability: InStock
Author: Ding, Steven X.
ISBN: 9781447161110

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portada Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Ding, Steven X.

Idioma

Inglés

N° páginas

504

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.7 cm

Peso

0.73 kg.

ISBN13

9781447161110

N° edición

0002

Categorías

Química industrial e ingeniería química
Ingeniería mecánica
Ingeniería de control automático

Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools (en Inglés)

Ding, Steven X. (Autor) · Springer · Tapa Blanda

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Reseña del libro "Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools (en Inglés)"

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.