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Wyświetlanie 1-2 z 2
Tytuł:
Monitoring of water distribution system effectiveness using fractal geometry
Autorzy:
Kowalski, D.
Kowalska, B.
Kwietniewski, M.
Powiązania:
https://bibliotekanauki.pl/articles/201524.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
water supply networks
monitoring
effectiveness
sieci wodociągowe
monitorowanie
skuteczność
Opis:
The paper discusses issues related to monitoring quality and pressure of water transmitted using water supply networks. Special attention was paid to methods of determining location of measuring points, which to a large extent influence effectiveness of the monitoring system. The purpose of the paper is to present authors’ own method of determining location of points of measuring quality and pressure of transmitted water. The basis for considerations was a real water supply network in a city of about 10.000 residents. The presented method is based on existence of self-similarity properties of the set of fractals formed by the geometrical structure of the water supply network. It is a rank-ordered method involving 3 basic stages - reduction of the number of potential measuring points, providing more details of a target location and checking usefulness of selected points for monitoring purposes. At the preparatory stage, existence of fractal properties of the examined network structure is required to be demonstrated as well as the construction of its numerical model. The ranking is based on two indicators referring by analogy to human circulatory system monitoring and elements of the risk theory. This theory was also used to evaluate usefulness of selected measuring points for monitoring purposes.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2015, 63, 1; 155--161
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Developing automatic recognition system of drill wear in standard laminated chipboard drilling process
Autorzy:
Kurek, J.
Kruk, M.
Osowski, S.
Hoser, P.
Wieczorek, G.
Jegorowa, A.
Górski, J.
Wilkowski, J.
Śmietańska, K.
Kossakowska, J.
Powiązania:
https://bibliotekanauki.pl/articles/200766.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
diagnostic expert systems
neural networks
wavelet packets
wear monitoring
diagnostyczny system ekspercki
sieci neuronowe
pakiety falkowe
monitorowanie zużycia
Opis:
The paper presents an automatic approach to recognition of the drill condition in a standard laminated chipboard drilling process. The state of the drill is classified into two classes: “useful” (sharp enough) and “useless” (worn out). The case “useless” indicates symptoms of excessive drill wear, unsatisfactory from the point of view of furniture processing quality. On the other hand the “useful” state identifies tools which are still able to drill holes acceptable due to the required processing quality. The main problem in this task is to choose an appropriate set of diagnostic features (variables), based on which the recognition of drill state (“useful” versus “useless”) can be made. The features have been generated based on 5 registered signals: feed force, cutting torque, noise, vibration and acoustic emission. Different statistical parameters describing these signals and also their Fourier and wavelet representations have been used for defining the features. Sequential feature selection is applied to detect the most class discriminative set of features. The final step of recognition is done by using three types of classifiers, including support vector machine, ensemble of decision trees and random forest. Six standard drills of 12 mm diameter with tungsten carbide tips were used in experiments. The results have confirmed good quality of the proposed diagnostic system.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2016, 64, 3; 633-640
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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