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Can I read Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques (Advances in Industrial Control) on EtoBox?
Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques (Advances in Industrial Control) by Silvio Simani PhD, Cesare Fantuzzi PhD, Ronald Jon Patton Beng, MEng, PhD (auth.) is a nonfiction available to read on EtoBox.
What is Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques (Advances in Industrial Control) about?
Safety in industrial process and production plants is a concern of rising importance, especially if people would be endangered by a catastrophic system failure. On the other hand, because the control devices which are now exploited to improve the overall performance of industrial processes include both sophisticated digital system design techniques and complex hardware (input-output sensors, actuators, components and processing units), there is an increased probability of failure. As a direct consequence of this, control systems must include automatic supervision of closed-loop operation to detect and isolate malfunctions as early as possible. One of the most promising methods for solving this problem is the "analytical redundancy" approach, in which residual signals are obtained. The basic idea consists of using an accurate model of the system to mimic the real process behaviour. If a fault occurs, the residual signal, i.e., the difference between real system and model behaviours, can be used to diagnose and isolate the malfunction. This book focuses on model identification oriented to the analytical approach of fault diagnosis and identification. The problem is treated in all its
Who reads Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques (Advances in Industrial Control)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Silvio Simani PhD, Cesare Fantuzzi PhD, Ronald Jon Patton Beng, MEng, PhD (auth.)
- Publisher
- Springer-Verlag London
- Published
- 2003
- Language
- EN
- ISBN
- 9781849968959
- Category
- nonfiction
- Subjects
- Computer Science, Engineering, Science
Other editions & translations
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