| 书目名称 | Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques |
| 编辑 | Silvio Simani,Cesare Fantuzzi,Ronald Jon Patton |
| 视频video | |
| 概述 | The reader will gain practical knowledge of how to apply the latest models and techniques in fault diagnosis to industrial systems.Application of the subject matter will reduce the risk of failure in |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 描述 | Safety in industrial process and production plants is a concern of rising importance but because the control devices which are now exploited to improve the performance of industrial processes include both sophisticated digital system design techniques and complex hardware, there is a higher probability of failure. Control systems must include automatic supervision of closed-loop operation to detect and isolate malfunctions quickly. A promising method for solving this problem is "analytical redundancy", in which residual signals are obtained and an accurate model of the system mimics real process behaviour. If a fault occurs, the residual signal is used to diagnose and isolate the malfunction. This book focuses on model identification oriented to the analytical approach of fault diagnosis and identification covering: choice of model structure; parameter identification; residual generation; and fault diagnosis and isolation. Sample case studies are used to demonstrate the application of these techniques. |
| 出版日期 | Book 2003 |
| 关键词 | Control; Control Applications; Control Engineering; Dynamical Systems; Fault Diagnosis; Gas Turbines; Iden |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-3829-7 |
| isbn_softcover | 978-1-84996-895-9 |
| isbn_ebook | 978-1-4471-3829-7Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | Springer-Verlag London 2003 |
发表于 2025-3-21 16:52:22
