| 書目名稱 | Fault Diagnosis | | 副標(biāo)題 | Models, Artificial I | | 編輯 | Józef Korbicz,Zdzis?aw Kowalczuk,Wojciech Cholewa | | 視頻video | http://file.papertrans.cn/342/341466/341466.mp4 | | 概述 | State of the art in process diagnostics presented in a handbook like style.Includes supplementary material: | | 圖書封面 |  | | 描述 | All real systems in nature - physical, biological and engineering ones - can malfunction and fail due to faults in their components. Logically,the chances for malfunctions increase with the systems‘ complexity. The complexity of engineering systems is permanently growing due to their growing size and the degree of automation, and accordingly increasing is the danger of fail- ing and aggravating their impact for man and the environment. Therefore, in the design and operation of engineering systems, increased attention has to be paid to reliability, safety and fault tolerance. But it is obvious that, compared to the high standard of perfection that nature has achieved with its self-healing and self-repairing capabilities in complex biological organisms, fault management in engineering systems is far behind the standards of their technological achievements; it is still in its infancy, and tremendous work is left to be done. In technical control systems, defects may happen in sensors, actuators, components of the controlled object - the plant, or in the hardware or soft- ware of the control framework. Such defects in the components may develop into a failure of the whole system. This e | | 出版日期 | Book 2004 | | 關(guān)鍵詞 | Signal; algorithms; artificial intelligence; cognition; control; control engineering; fuzzy; fuzzy logic; ge | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-18615-8 | | isbn_softcover | 978-3-642-62199-4 | | isbn_ebook | 978-3-642-18615-8 | | copyright | Springer-Verlag Berlin Heidelberg 2004 |
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