Hi:

With increasing demands for efficiency and product quality and progressing integration of automatic control systems in high-cost and safety-critical processes, the field of supervision (or monitoring), fault detection and fault diagnosis plays an important role. The classical method of supervision is to check the limits of single variables and alarming of operators. However, this can be improved significantly by taking into account the information hidden in all measurements and by automatic actions to keep the systems in operation.

During the last few decades theoretical and experimental research has shown new ways to detect and diagnose faults. One distinguishes fault detection to recognize that a fault happened, and fault diagnosis to find the cause and location of the fault. Advanced methods of fault detection are based on mathematical signal and process models and on methods of system theory and process modeling to generate fault symptoms. Fault-diagnosis methods use causal fault–symptom relationships by applying methods from statistical decision, artificial intelligence and soft computing. Therefore, efficient supervision, fault detection and diagnosis is a challenging field encompassing physical-oriented system theory, experiments and computations. The considered subjects are also known as condition monitoring, fault detection and isolation (FDI) or fault detection and diagnosis (FDD).

A further important field is fault management or asset management. This means to avoid shutdowns by early fault detection and actions like process condition-based maintenance or repair. If sudden faults, failures or malfunctions cannot be avoided, fault-tolerant systems are required. Through methods of fault detection and reconfiguration of redundant components, breakdown, and in the case of safety-critical processes, accidents, may be avoided.

As the successor to the book Fault-Diagnosis Systems – An Introduction from Fault Detection to Fault Tolerance, this book describes applications of fault detection and diagnosis to different kinds of technical processes and products.

The development of fault-detection and fault-diagnosis methods was paralleled by experimental investigations with several technical processes at the Institute of Automatic Control of the Darmstadt University of Technology from about 1975 and frequently in cooperation with industrial partners. In this way the theoretically developed methods could be tested on real processes and the experimental results gave hints for improvements and further ideas. Therefore, this book contains the main results of 20 different processes, ranging from electrical drives and different actuators, through machine tools, pumps and pipelines, to heat exchangers. (Theoretical and practical results for combustion engines are published in another book Engine Control and Diagnosis.)

The book is an introduction to the application of fault diagnosis and fault tolerance in the areas of electrical engineering, mechanical and chemical engineering and computer science. It is addressed to students and practicing engineers in research and development, design and manufacturing. Preconditions are basic undergraduate courses in system theory, automatic control, and mechanical and/or electrical engineering.

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