Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "failure modes and effects analysis" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
The Use of Linguistic Variables and the FMEA Analysis in Risk Assessment in Inland Navigation
Autorzy:
Skupień, E.
Tubis, A.
Powiązania:
https://bibliotekanauki.pl/articles/116027.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
inland shipping
risk assessment
Failure Modes and Effects Analyses (FMEA)
FMEA analysis
FMEA method
linguistic variables
risk factors
inland navigation
Opis:
The paper continues the study of the same authors, who previously proposed a method of risk assessment in inland navigation. In the literature there is a gap in the research area of a risk management of transportation systems, especially: inland navigation. The authors carried out interdisciplinary research and presented the results related to the identification of risk factors present in the systems of inland navigation. The paper presents inland navigation risk analysis, conducted using the linguistic variables and the FMEA method, taking into account technical, economic and social aspects. The aim of the article is to present a procedure for the assessment of risk in inland waterways transport, and carry out risk analysis for transport companies. In paper the proposal of behavior scenarios, methods of preventing and minimizing effects of pointed risks are shown.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2018, 12, 1; 143-148
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An expert elicitation analysis for vessel allision risk near the offshore wind farm by using fuzzy rule-based bayesian network
Autorzy:
Yu, Q.
Liu, K.
Powiązania:
https://bibliotekanauki.pl/articles/117215.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
offshore wind farms
expert elicitation analysis
Bayesian network model
fuzzy rule-based bayesian network
Failure Modes and Effects Analyses (FMEA)
Bayesian Networks
vessel allision risk
risk analysis
Opis:
This paper develops an expert based framework for analysing and synthesising the ship allision risk near the offshore wind farm (OWF) on the basis of a generic Fuzzy Bayesian network and FMEA analysis. This framework is specifically intended to overcome the difficulty of using traditional risk assessment methods in OWF allision. Under the introduced framework, subjective belief degrees are assigned to model the incompleteness encountered in establishing the knowledge base. The fuzzy transformation technology is then used to introduce all judgements results under various situations. Fully, a Bayesian network is established to aggregate all relevant attributes to the conclusion and to prioritise potential allision risk level of each ship categories. A series of case studies of different ship categories are studied to illustrate the application of the proposed framework. Results show that the fishing vessel and the service vessel have a higher allision risk than the merchant vessel due to insufficient risk detection. The collision consequence of the tanker is significantly higher than other types of vessel. The framework facilitates subjective risk assessment when historical failure data is not available in their practice, which provides support to OWF-safeguarding and decision-making.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 831-837
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies