Temat: oil quality inspection - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The machine exploitation system innovations in the Malting Plant Soufflet Poland of Poznan
Autorzy:: Borkowski, S.
Krynke, M.
Nowak, K.
Powiązania:: https://bibliotekanauki.pl/articles/114834.pdf
Data publikacji:: 2014
Wydawca:: Stowarzyszenie Menedżerów Jakości i Produkcji
Tematy:: technical capability condition
thermovision
vibroacoustics
oil quality inspection
termowizja
wibroakustyka
produkcja słodu
kontrola jakości oleju
Opis:: The following chapter describes innovative actions implemented in the machine exploitation system in the Malting Plant Soufflet Poland of Poznan. It presents the main preventive actions aimed to increase the safety level of the malt production process. In particular, the test system to check the sensors and emergency switch effectiveness in the line for malt sprout and dust granulation is described. It was emphasized that only automatic mode of the technological installation can guarantee safe production and work conditions. Moreover, some other diagnostic and preventive actions undertaken in the malting plant are discussed, like thermovisual analysis, vibroacoustic measurement and oil quality inspection.
Źródło:: Zeszyty Naukowe. Quality. Production. Improvement; 2014, 1 (1); 65-77
2544-2813
Pojawia się w:: Zeszyty Naukowe. Quality. Production. Improvement
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: Automatic non-destructive quality inspection system for oil palm fruits
Autorzy:: Makky, M.
Soni, P.
Salokhe, V.M.
Powiązania:: https://bibliotekanauki.pl/articles/24184.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: non-destructive quality
inspection system
fruit
African oil palm
quality inspection
fresh fruit
bunch
machine vision
Opis:: In this research a non-destructive, rapid and cost effective examination machine for the estimation of the ripeness fraction, oil content and free fatty acid level in oil palm fresh fruits bunch was developed. The automatic machine-vision based in- spection system provided consistency, rapid estimation and accep- table accuracy results in non-dest ructive manner. Fresh fruits bunch samples from Tenera cultivar (7 to 20 years trees) were taken from Cimulang plantation, Bogor, Indonesia. Two statistical analysis methods were used: a forward stepwise multiple linear regression analysis and a multilayer-perceptron artificial neural network analysis. The best prediction of ripeness and oil content models were obtained using the latter method, while the best free fatty acid prediction model was developed by the first method. The models were then employed in the machine-vision inspection systems of the machine. The system best prediction accuracy of ripeness, oil content and free fatty acid models was 93.5, 96.41, and 89.32%, with standard error of prediction being 0.065, 0.044 and 0.068, respectively. The system was tested through a series of field tests, and successfully examined more than 12 t of fruits bunch per hour, without causing damage.
Źródło:: International Agrophysics; 2014, 28, 3
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Informacja

Wyszukujesz frazę "oil quality inspection" wg kryterium: Temat

Źródło danych

Dostawca treści

Kolekcja

Rok wydania

Wydawca

Temat

Autor

Typ dokumentu

Język