By Jie Chen, R.J. Patton
There is an expanding call for for dynamic structures to turn into extra secure and trustworthy. This requirement extends past the as a rule approved safety-critical structures of nuclear reactors and airplane the place security is paramount very important, to structures equivalent to self sustaining autos and quick railways the place the method availability is essential. it truly is transparent that fault analysis (including fault detection and isolation, FDI) has been changing into an incredible topic in sleek keep watch over concept and perform. for instance, the variety of papers on FDI offered in lots of control-related meetings has been expanding gradually. the topic of fault detection and isolation keeps to mature to a longtime box of study up to speed engineering. a large number of wisdom on model-based fault analysis has been ac cumulated during the literature because the starting of the Nineteen Seventies. notwithstanding, courses are scattered over many papers and some edited books. as much as the top of 1997, there's no any ebook which offers the topic in an unified framework. The final result of this can be the inability of "common language", dif ferent researchers use diverse terminology. This challenge has obstructed the development of model-based FDI thoughts and has been inflicting nice situation in study neighborhood. Many survey papers were released to take on this challenge. even though, a ebook which provides the fabrics in a unified structure and offers a entire starting place of model-based FDI is urgently needed.
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Extra resources for Robust Model-Based Fault Diagnosis for Dynamic Systems
Sample text
It must be pointed out that most residual generation approaches are applicable for both continuous and discrete system models, however some approaches can only work for discrete models. In this book, if the continuous model is used, it implies that the technique can be applied to both continuous and discrete models, otherwise the technique is only applicable for discrete models. For example, the parity relation approach is developed specially for discrete models although there have been some studies into the use of the parity relation approach for continuous models (Mironovski, 1979; Magni and Mouyon, 1991; Medvedev, 1995; Medvedev, 1996).
The closed-loop model. For those cases, the controller plays an important role in the design of diagnostic schemes. A robust controller may desensitize fault effects and make the diagnosis very difficult. g. Wu (1992), Patton (1997a), and the best solution is to design the fault diagnosis scheme and the controller simultaneously (Nett, Jacobson and Miller, 1988; Jacobson and Nett, 1991; Stoustrup, Grimble and Niemann, 1997). The interconnection between fault diagnosis and robust control is a topic for future research and is not considered further in this book.
The stability as well as eigenvalue constraint conditions for the fuzzy observer design are presented and solved in the framework of linear matrix inequalities. The application of fuzzy observers in detecting and isolating intermittent faults in the induction motor of a railway traction system is demonstrated. Finally, this chapter introduces a neuro-fuzzy approach for integrating quantitative and qualitative information in FDI. In this approach, residuals are generated and evaluated via a B-spline functions network.