Autor: Turner, M. S. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Middle Devonian thelodont Australolepis sp. (Thelodonti) from the Skały Formation, Holy Cross Mountains, Poland
Autorzy:: Turner, S.
Ginter, M.
Powiązania:: https://bibliotekanauki.pl/articles/139166.pdf
Data publikacji:: 2018
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: Vertebrate palaeontology
taxonomy
biostratigraphy
Thelodonti
Turiniidae
Givetian
Northern Gondwana
Polska
paleontologia
kręgowce
taksonomia
biostratygrafia
telodonty
żywet
Gondwana
Polska
Opis:: Sparse fish microremains have been found in marine limestones from the Middle Devonian (Givetian) Skały Formation (Sitka Coral-Crinoid Limestone Member and Sierżawy Member), Świętomarz–Śniadka section, Bodzentyn Syncline, Łysogóry Region, northern Holy Cross Mountains, associated with conodonts of the hemiansatus to ansatus zones. Thelodont scales referred here to Australolepis sp. cf. A. seddoni come from near Śniadka village, from samples dated as hemiansatus to rhenanus/varcus zones. This increases the known range for the genus from its original find in Western Australia. The presence of a thelodont in the late Middle Devonian in Poland extends the known distribution of turiniids around the peri-Gondwana shorelines of Palaeotethys.
Źródło:: Acta Geologica Polonica; 2018, 68, 3; 467-473
0001-5709
Pojawia się w:: Acta Geologica Polonica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Failure mode analysis to define process monitoring systems
Autorzy:: McLeay, T.
Turner, M. S.
Powiązania:: https://bibliotekanauki.pl/articles/100045.pdf
Data publikacji:: 2011
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: fmea
process monitoring
Bayesian networks
PCA
sensor fusion
acoustic emission
Opis:: The high costs of using skilled operators in production processes has built a demand for reduced manning, 'lights out machining' manufacture. Process monitoring systems have become a widely researched area in recent years since there is a need for intelligent systems to replace the manual intervention in existing processes. Furthermore, using modern sensors and signal processing techniques, monitoring systems can obtain more informatio about a process and therefore reduce costs further though maximised life of cutting tools, optimised cutting parameters and reduced scrap or re-work. With many application areas available, such as tool condition monitoring, chatter avoidance or feedback control of cutting parameters, it is not always apparent what the key aspects required by an intelligent monitoring system are. In addition, different machining processes have different demands and limitations for monitoring. This paper considers an analytical approach to define the requirements of a monitoring system. A process failure mode effect analysis (FMEA) is carried out to determine the weaknesses of current production processes. From this analysis, the relationships between failures, causes and effects can be used to populate conditional relationships between process faults and sensor signal features in a monitoring system.
Źródło:: Journal of Machine Engineering; 2011, 11, 4; 118-129
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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