Springer
Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
Product Code:
9781447147985
ISBN13:
9781447147985
Condition:
New
$232.16
Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools
$232.16
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.
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.
| Author: Steven X. Ding |
| Publisher: Springer |
| Publication Date: Jan 02, 2013 |
| Number of Pages: 504 pages |
| Binding: Hardback or Cased Book |
| ISBN-10: 1447147987 |
| ISBN-13: 9781447147985 |
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