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Titlebook: Intelligent Systems in Technical and Medical Diagnostics; Jozef Korbicz,Marek Kowal Conference proceedings 2014 Springer-Verlag Berlin Hei

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Model Predictive Control of the Two Rotor Aero-Dynamical System Using State Space Neural Networks wihe Two Rotor Aero-dynamical system. The work describes approach based on the so-called instantaneous linearisation of the already trained nonlinear state space model of the system. With obtained linear model it is possible to derive a vector of future controls based on the minimisation of the cost f
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Robust , Sensor Fault Diagnosis with Neural Networkminary part of the paper describes the derivation of a discrete-time polytopic LPV model with RNN. Subsequently, a robust fault detection, isolation and identification scheme is developed, which is based on the observer and . framework for a class of non-linear systems. The proposed approach is desi
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Clustering of Delaminations in Composite Rotors Using Self-Organizing Mapsosite rotors using Kohonen self-organizing maps. The approach used for the evaluation considered axial displacements of modal shapes of rotated composite rotors with simulated delaminations and measurement points on the surface of a rotor in order to detect and classify the delaminations with respec
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Gender Approach to Multi-Objective Optimization of Detection Systems with Pre-selection of Criteriation about individual genders is applied. This information is drawn out of the fitness of individuals and applied during the parental crossover in the evolutionary multi-objective optimization (EMO) processes. The paper introduces the principles of the genetic-gender approach (GGA) and illustrates i
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Importance Discounting as a Technique of Expert Knowledge Incorporation into Diagnostic Decision-Maked on Desert-Smarandache theory is discussed. Reliability discounting is a well-known technique for belief assignments conditioning, having regard to objective properties of source of evidence. Indeed, in real applications, it is needed to differentiate between objective properties and subjective pr
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Simulators for Defining of Requirements for Diagnostic Systems sets of requirements. In many cases, different solutions of diagnostic systems will be described by these requirements. One important task is the problem of selecting optimal solution from these sets of likely solutions. This task could be difficult and time-consuming in case of large set of likely
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Discovering Rules for Production Speed Prediction in Fasteners Manufacturingo find factors causing decrease in the efficiency of the cold forging production process. The proposed method allows us to discover a knowledge from the data collected in the Manufacturing Execution System (MES) operating in a fasteners manufacturing company. The structure and preparation phase of a
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eases, toxic/metabolic disorders, and tumors. As one evaluation of brain. From the time of the early de- can easily see from the table of contents, the authors scriptions by LeBihan and colleagues of the ability have systematically covered all major areas of neu- to image and measure the micromoveme
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