Model-Based Fault Diagnosis Techniques : Design Schemes, Algorithms and Tools PDF
by Steven X. Ding
Part of the Advances in Industrial Control series
Description
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.
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer London
- Publication Date:20/12/2012
- Category:
- ISBN:9781447147992
Other Formats
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Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer London
- Publication Date:20/12/2012
- Category:
- ISBN:9781447147992
