A collaborative modelling of ship and port interface operations under uncertainty

2016 ◽  
Vol 231 (1) ◽  
pp. 165-176 ◽  
Author(s):  
Andrew John ◽  
Thaddeus C Nwaoha ◽  
Tarnue M Kpangbala
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Engineering Systems ◽  
Analysis Method ◽  
Tree Analysis ◽  
Performance Effectiveness ◽  
Failure Data ◽  
Analysis Process ◽  
Fuzzy Fault Tree Analysis ◽  
Maritime Operations

Fault tree analysis is a known methodology used for analysing engineering systems. The approach is usually conducted using known failure data. Given that most maritime operations are conducted in a challenging and uncertain environment, their failure data are usually unavailable requiring a flexible and yet robust algorithm for the analysis of the systems. This research therefore seeks to analyse hazards of ships during ship and port interface operations as a result of manoeuvring by incorporating fuzzy fault tree analysis method to optimise the performance effectiveness of the system. Fuzzy set theory provides the needed flexibility to represent vague information from the analysis process. The methodology is structured in such a manner that diverse sets of data can be integrated and synthesised for analysing the system. It is envisaged that the proposed method could avail safety specialist with a simple and a step-by-step framework for evaluating maritime hazards in seaport operations in a concise way.

A novel ranking function-based triangular intuitionistic fuzzy fault tree analysis method

2020 ◽  
Vol 39 (3) ◽  
pp. 2753-2761
Author(s):  
Hui Zhou ◽  
Haiping Ren
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Ranking Function ◽  
Analysis Method ◽  
Tree Analysis ◽  
Factors Affecting ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
Operational Laws ◽  
Fuzzy Fault Tree Analysis

In reliability field, the probabilities of basic events are often treated as exact values in conventional fault tree analysis. However, for many practical systems, because the concept of events may be ambiguous, the factors affecting the occurrence of events are complex and changeable, so it is difficult to obtain accurate values of the occurrence probability of events. Fuzzy sets can well deal with these situations. Thus this paper will develop a novel fault tree analysis method in the assumption of the values of probability of basic events expressed with triangular intuitionistic fuzzy numbers. First, a new ranking function of triangular intuitionistic numbers is established, which can reflect the behavior factors of the decision maker. Then a novel fault tree analysis method is put forward on the basis of operational laws and the proposed ranking function of triangular intuitionistic numbers. Finally, an example of weapon system “automatic gun” is employed to show that the proposed fault tree analysis method is feasible and effective.

Collision Risk Modelling of Supply Vessels and Offshore Platforms Under Uncertainty

2017 ◽  
Vol 70 (4) ◽  
pp. 870-886 ◽  
Author(s):  
Andrew John ◽  
Umukoro Johnson Osue
Keyword(s):  
Complex Structure ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Safety Evaluation ◽  
Offshore Platforms ◽  
Tree Analysis ◽  
Failure Data ◽  
Analysis Process ◽  
Management Procedures ◽  
Offshore Industry

Serious accidents in the marine and offshore industry have underscored the need for safety evaluation of maritime operations using risk and safety analysis methods which have become a powerful tool in identifying technical solutions and operational management procedures. Given that Fault Tree Analysis (FTA) is a known methodology used for analysing engineering systems, the approach is usually conducted using known failure data. But most offshore operations are conducted in a challenging and uncertain environment and the failure data of some of these systems are usually unavailable requiring a flexible and yet robust algorithm for their analysis. This paper therefore seeks to analyse the complex structure of Offshore Supply Vessel (OSV) collision with platforms by incorporating a Fuzzy Fault Tree Analysis (FFTA) method. Fuzzy set theory provides the flexibility to represent vague information from the analysis process. The methodology is structured in such a manner that diverse sets of data are integrated and synthesized for analysing the system. It is envisaged that the proposed method could provide the analyst with a framework to evaluate the risks of collision enabling informed decisions regarding the deployments of resources for system improvement.

Analysis of Mine Hoist System Monitoring and Fault Diagnosis

2014 ◽  
Vol 615 ◽  
pp. 113-117
Author(s):  
Jian Yun Bai ◽  
Li Peng Yan
Keyword(s):  
Fault Diagnosis ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Brake System ◽  
Analysis Method ◽  
System Monitoring ◽  
Tree Analysis ◽  
Fuzzy Fault Tree Analysis ◽  
Safety And Reliability ◽  
Mine Hoist

This paper is Zhengli Coal JKMD3.5 × 4 (III) E-type floor-type multi-rope friction hoist for the study, in order to enhance the system to improve monitoring and fault diagnosis for the purpose of fuzzy fault tree analysis method as the lift system the method of fault diagnosis on hoist brake system fault tree analysis, the results of the analysis can play a guiding role in the daily repair and maintenance, thereby enhancing the safety and reliability of the hoist.

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