Download e-book for kindle: Robust Model-Based Fault Diagnosis for Dynamic Systems by Jie Chen, R.J. Patton

By Jie Chen, R.J. Patton

ISBN-10: 1461373441

ISBN-13: 9781461373445

ISBN-10: 1461551498

ISBN-13: 9781461551492

There is an expanding call for for dynamic platforms to develop into extra secure and trustworthy. This requirement extends past the as a rule authorized safety-critical platforms of nuclear reactors and plane the place safeguard is paramount vital, to structures resembling self sufficient automobiles and quick railways the place the procedure availability is essential. it truly is transparent that fault prognosis (including fault detection and isolation, FDI) has been turning into a tremendous topic in smooth regulate concept and perform. for instance, the variety of papers on FDI awarded in lots of control-related meetings has been expanding gradually. the topic of fault detection and isolation maintains to mature to a longtime box of analysis on top of things engineering. a large number of wisdom on model-based fault analysis has been ac­ cumulated in the course of the literature because the starting of the Seventies. despite the fact that, courses are scattered over many papers and some edited books. as much as the tip of 1997, there's no any e-book which offers the topic in an unified framework. The final result of this is often 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 predicament in examine neighborhood. Many survey papers were released to take on this challenge. even if, a publication which offers the fabrics in a unified layout and offers a complete beginning of model-based FDI is urgently needed.

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Extra info for Robust Model-Based Fault Diagnosis for Dynamic Systems

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The jet engine is a complex, highly non-linear and high order system and, any techniques applicable to such a system should also be applicable to other complex non-linear and uncertain dynamical systems. The purpose of robust residual design is to make the residual maximally sensitive to faults and minimally sensitive to modeling uncertainty. Chapter 6 introduces an approach to the design of optimal residuals for detecting incipient faults, based on multi-objective optimization and the genetic algorithm.

The difficulty is caused by the mis-match between the theoretical assumptions and practical reality. In most practical systems, the disturbance distribution matrix is not known. Disturbance decoupling methods which require the disturbance distribution matrix cannot be applied directly to the system with unknown disturbance distribution matrix. Chapter 5 demonstrates how to apply the disturbance de-coupling method to a system with modeling uncertainty. It is proved that an approximate disturbance term with an estimated distribution matrix can be used to represent the effect of modeling uncertainty on the system.

12) for the fault-free case. When any fault occurs in system, this invariant relation will be violated and the residual will be non-zero. 8. e. the system FI is made identical to the original system model and has the same input signal as the system. In this case, the signal y is not required in the system block FI which is then simply a system simulator. The signal z is the simulated output of the system, and the residual is the difference between z and y. 2). A direct extension to the simulator-based residual generation is to replace the simulator by an output estimator which requires both system input and output.

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Robust Model-Based Fault Diagnosis for Dynamic Systems by Jie Chen, R.J. Patton


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