Titlebook: Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes; Krzysztof Patan Book 2008 Springer-Verlag Berlin

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Industrial Applications,ee examples are considered:.In all case studies, locally recurrent globally feedforward networks, introduced in Section 3.5.4, are used as models of the industrial processes considered. Other types of neural networks, discussed in Sections 7.2 and 7.3.3, are used in decision making in order to detect faults.

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Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes978-3-540-79872-9Series ISSN 0170-8643 Series E-ISSN 1610-7411

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Diffraction in surfaces and interfaces,ee examples are considered:.In all case studies, locally recurrent globally feedforward networks, introduced in Section 3.5.4, are used as models of the industrial processes considered. Other types of neural networks, discussed in Sections 7.2 and 7.3.3, are used in decision making in order to detect faults.

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Lecture Notes in Control and Information Scienceshttp://image.papertrans.cn/b/image/162675.jpg

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Ingolf Ruge,Helmut Müller,Heiner Ryssel faults that might occur in the supervised process renders it possible to perform important preventing actions. Moreover, it allows one to avoid heavy economic losses involved in stopped production, the replacement of elements and parts, etc.

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Book 2008odes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern

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