1,721,651 research outputs found
Presentazione in L. Impicciatore, Santa Maria Maggiore a Lanciano: dal palinsesto ai restauri
No full textSintesi dei risultati dello studio sulla chiesa di Santa Maria Maggiore a Lanciano, nel quadro dell'architettura abruzzese e dei restauri del XX secolo
Presentazione in L. Impicciatore, Santa Maria Maggiore a Lanciano: dal palinsesto ai restauri
No full textSintesi dei risultati dello studio sulla chiesa di Santa Maria Maggiore a Lanciano, nel quadro dell'architettura abruzzese e dei restauri del XX secolo
Monitoring Automatic Machines
No full textIn the context of full automation of manufacturing processes, it is important to develop predictive maintenance methodologies in every industrial field. This paper presents experimental tests carried out on some components of high-performance automatic machines. The aim is to assess and compare the effectiveness and reliability of different condition monitoring methodologies based on vibration analysis. A methodology based on recovery of the acceleration pattern of the final actuator of the mechanism under consideration seems to be particularly promising. It allows the working conditions to be judged, directly comparing the recovered output member acceleration with the functional requirements which, for this kind of mechanism, are mainly relative to the motion law. A lumped parameter model of the same mechanism is presented and its application for diagnostic purposes is shown. © 1992
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
FROS: a fuzzy logic-based recogniser of olfactory signals
No full textIn this paper we describe FROS, a fuzzy logic-based recogniser of olfactory signals. FROS integrates two recognisers, namely the shape-based recogniser and the dynamic range-based recogniser. While the former uses a linguistic description of the shape of the signals, the latter exploits a fuzzy classification of their dynamic ranges. FROS was designed to classify signals produced by a sensor array that comprises conducting polymer sensors with partially overlapping sensitivities. The sensors are exposed to odorants and the resistance values are used for classification. Results of the application of FROS to two different test cases are also presented
A new linguistic fuzzy approach to recognition of olfactory signals
No full textIn this paper we propose a new fuzzy linguistic method to recognize odorant samples. The method is applied to raw experimental data collected from a sensor array that comprises sixteen conducting polymer sensors with partially overlapping sensitivities. The sensors are exposed to odor samples and the percentage change in resistance is used for classification. The method describes the shape of each sensor response in terms of linguistic expressions derived from a fuzzy partition of the area occupied by the response. A purposely-defined weighted distance is used to compare the linguistic descriptions. Results on the application of the method to the classification of three chemicals in two different concentrations are presented
Ball Bearing Diagnostics Using Neural Networks
No full textBall bearings can be affected by several damage typologies. Surface flaws on inner and outer races or on rolling elements are the main causes of failure. The passing of a rolling element upon a localised defect generates a wide band impulse: during machine running, this particular phenomenon repeats itself at the fault characteristic frequencies, which depend on the bearing geometry. The present work shows the results obtained by the application of the main MATLAB Neural Networks to experimental parameters extracted from the casing of the ball bearing of a test machine in operating condition. The analysed bearings were affected by the above mentioned damages, artificially created by electric erosion. A comparison between the results obtained by the application of different network architectures is reporte
Classification of odour samples from a multisensor array using new linguistic fuzzy method
No full textA new method for the fuzzy classification of odour samples that are obtained from an array of conducting polymer sensors is proposed. Linguistic expressions describing the response of both individual sensors and the sensor array to each chemical are derived from a fuzzy model of the sensor data. Experimental results confirming the proposed method are also included
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