A FUZZY DEMATEL MODEL PROPOSAL FOR THE CAUSE AND EFFECT OF THE FAULT OCCURRING IN THE AUXILIARY SYSTEMS OF THE SHIPS’ MAIN ENGINE

2021 ◽  
Vol 160 (A2) ◽  
Author(s):  
A Balin ◽  
H Demirel ◽  
E Celik ◽  
F Alarcin
Keyword(s):  
Decision Making ◽  
Error Detection ◽  
Detection System ◽  
Causal Effect ◽  
Complex Structure ◽  
Fuel Oil ◽  
Fuzzy Dematel ◽  
Engine Room ◽  
Engine Failure ◽  
Main Engine

The ship engine room has a structure that meets a number of needs related to administrative conditions. Even if a simple mechanical error is considered to be the addition of human errors into the complex structure of the engine room, it can lead to undetected loss. How the causes and effects of the detected faults affect the system is as important as an effective fault detection system to detect the fault and take immediate action against any possible engine failure. This study reveals the causes of problems occurring in the main engine auxiliary systems including cooling, lubricating, cooling oil and fuel systems, and the extent of these problems affecting the system. While the Decision Making Trial and Evaluation Laboratory supports to identify and analyze the error detection of auxiliary systems with respect to causal effect relation diagram, fuzzy sets deal with the uncertainty in decision-making and human judgements through the DEMATEL. Therefore, fuzzy DEMATEL approach is applied to examine the causes and the weights of the faults and their relation to each other in the auxiliary systems. When we look at the result of the proposed approach, fuel oil pump failures has more impact on the all system and air cooler problems has the second highest place among the all errors.

A Fuzzy DEMATAL Model Proposal for the Cause and Effect of the Fault Occuring in the Auxiliary Systems of the Ships' Main Engine

2018 ◽  
Vol Vol 160 (A2) ◽  
Author(s):  
A Balin ◽  
H Demirel ◽  
E Celik ◽  
F Alarcin
Keyword(s):  
Decision Making ◽  
Error Detection ◽  
Detection System ◽  
Causal Effect ◽  
Complex Structure ◽  
Fuel Oil ◽  
Fuzzy Dematel ◽  
Engine Room ◽  
Engine Failure ◽  
Main Engine

The ship engine room has a structure that meets a number of needs related to administrative conditions. Even if a simple mechanical error is considered to be the addition of human errors into the complex structure of the engine room, it can lead to undetected loss. How the causes and effects of the detected faults affect the system is as important as an effective fault detection system to detect the fault and take immediate action against any possible engine failure. This study reveals the causes of problems occurring in the main engine auxiliary systems including cooling, lubricating, cooling oil and fuel systems, and the extent of these problems affecting the system. While the Decision Making Trial and Evaluation Laboratory supports to identify and analyze the error detection of auxiliary systems with respect to causal effect relation diagram, fuzzy sets deal with the uncertainty in decision-making and human judgements through the DEMATEL. Therefore, fuzzy DEMATEL approach is applied to examine the causes and the weights of the faults and their relation to each other in the auxiliary systems. When we look at the result of the proposed approach, fuel oil pump failures has more impact on the all system and air cooler problems has the second highest place among the all errors.

APPLICATION OF FUZZY ANALYTIC HIERARCHY PROSES FOR ERROR DETECTION OF AUXILARY SYSTEMS OF SHIP MAIN DIESEL ENGINES

2021 ◽  
Vol 157 (A2) ◽  
Author(s):  
H Demirel ◽  
K Ünlügençoğlu ◽  
F Alarçin ◽  
A Balin
Keyword(s):  
Diesel Engine ◽  
Error Detection ◽  
Cooling System ◽  
Detection System ◽  
Analytic Hierarchy ◽  
Engine Room ◽  
Air Supply ◽  
Solution Methods ◽  
Marine Engineering ◽  
Main Engine

Ship engine room has a structure which has to meet a number of needs with regard to administrative conditions. Therefore, when the complicated structure of engine room are considered, even a simple mechanical failure, if no measures taken abruptly, grows into irreversible condition, causing losses that cannot be compensated. A well-qualified ship engine conductor along with an effective error detection system is needed to detect failure and act immediately against any engine impairments possible. This study aims to manage troubleshooting in main engine auxiliary systems which cover cooling, lubricating and cooling oil and fuel systems. The study is also thought to be a good reference for maintenance processes for marine engineering operators. Breakdown of main engine equipment are examined and troubles hooting program is developed for using Fuzzy Analytic Hierarchy Process (F-AHP) determine solution methods and causes of such breakdowns. In this paper, a fuzzy Multi Criteria Decision Making (MCDM) methodology was proposed to determine the most effected system of the ship main diesel engine. The results showed that fuel system was the most effected alternative, as being followed subsequently by cooling system, governor system, air supply system and oiling system. The results were based upon the opinions of three experts groups who ranked the ship main diesel engine systems alternatives according to twenty-nine criteria expert selected.

Application of Fuzzy Analytic Hierarchy Proses for Error Detection of Auxilary Systems of Ship Main Diesel Engines

2015 ◽  
Vol 157 (A2) ◽  
pp. 105-112
Keyword(s):  
Diesel Engine ◽  
Error Detection ◽  
Cooling System ◽  
Detection System ◽  
Analytic Hierarchy ◽  
Engine Room ◽  
Air Supply ◽  
Solution Methods ◽  
Marine Engineering ◽  
Main Engine

Ship engine room has a structure which has to meet a number of needs with regard to administrative conditions. Therefore, when the complicated structure of engine room are considered, even a simple mechanical failure, if no measures taken abruptly, grows into irreversible condition, causing losses that cannot be compensated. A well-qualified ship engine conductor along with an effective error detection system is needed to detect failure and act immediately against any engine impairments possible. This study aims to manage troubleshooting in main engine auxiliary systems which cover cooling, lubricating and cooling oil and fuel systems. The study is also thought to be a good reference for maintenance processes for marine engineering operators. Breakdown of main engine equipment are examined and troubles hooting program is developed for using Fuzzy Analytic Hierarchy Process (F-AHP) determine solution methods and causes of such breakdowns. In this paper, a fuzzy Multi Criteria Decision Making (MCDM) methodology was proposed to determine the most effected system of the ship main diesel engine. The results showed that fuel system was the most effected alternative, as being followed subsequently by cooling system, governor system, air supply system and oiling system. The results were based upon the opinions of three experts groups who ranked the ship main diesel engine systems alternatives according to twenty-nine criteria expert selected.

scholarly journals Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis

2021 ◽  
Vol 11 (9) ◽  
pp. 3871
Author(s):  
Jérôme Morio ◽  
Baptiste Levasseur ◽  
Sylvain Bertrand
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Importance Sampling ◽  
Loss Of Control ◽  
Minimum Volume ◽  
Multiple Importance Sampling ◽  
Impact Position ◽  
Engine Failure ◽  
Main Engine ◽  
Ground Impact

This paper addresses the estimation of accurate extreme ground impact footprints and probabilistic maps due to a total loss of control of fixed-wing unmanned aerial vehicles after a main engine failure. In this paper, we focus on the ground impact footprints that contains 95%, 99% and 99.9% of the drone impacts. These regions are defined here with density minimum volume sets and may be estimated by Monte Carlo methods. As Monte Carlo approaches lead to an underestimation of extreme ground impact footprints, we consider in this article multiple importance sampling to evaluate them. Then, we perform a reliability oriented sensitivity analysis, to estimate the most influential uncertain parameters on the ground impact position. We show the results of these estimations on a realistic drone flight scenario.

scholarly journals Lex-Pos Feature-Based Grammar Error Detection System for the English Language

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1686 ◽  
Author(s):  
Nancy Agarwal ◽  
Mudasir Ahmad Wani ◽  
Patrick Bours
Keyword(s):  
Error Detection ◽  
Network Architecture ◽  
English Language ◽  
Short Term Memory ◽  
Detection System ◽  
Structural Characteristics ◽  
Contextual Information ◽  
Systems Model ◽  
Part Of Speech ◽  
Induction Technique

This work focuses on designing a grammar detection system that understands both structural and contextual information of sentences for validating whether the English sentences are grammatically correct. Most existing systems model a grammar detector by translating the sentences into sequences of either words appearing in the sentences or syntactic tags holding the grammar knowledge of the sentences. In this paper, we show that both these sequencing approaches have limitations. The former model is over specific, whereas the latter model is over generalized, which in turn affects the performance of the grammar classifier. Therefore, the paper proposes a new sequencing approach that contains both information, linguistic as well as syntactic, of a sentence. We call this sequence a Lex-Pos sequence. The main objective of the paper is to demonstrate that the proposed Lex-Pos sequence has the potential to imbibe the specific nature of the linguistic words (i.e., lexicals) and generic structural characteristics of a sentence via Part-Of-Speech (POS) tags, and so, can lead to a significant improvement in detecting grammar errors. Furthermore, the paper proposes a new vector representation technique, Word Embedding One-Hot Encoding (WEOE) to transform this Lex-Pos into mathematical values. The paper also introduces a new error induction technique to artificially generate the POS tag specific incorrect sentences for training. The classifier is trained using two corpora of incorrect sentences, one with general errors and another with POS tag specific errors. Long Short-Term Memory (LSTM) neural network architecture has been employed to build the grammar classifier. The study conducts nine experiments to validate the strength of the Lex-Pos sequences. The Lex-Pos -based models are observed as superior in two ways: (1) they give more accurate predictions; and (2) they are more stable as lesser accuracy drops have been recorded from training to testing. To further prove the potential of the proposed Lex-Pos -based model, we compare it with some well known existing studies.

Lessons from Emma Maersk Flooding – February 2013

2015 ◽  
Author(s):  
Chilukuri Maheshwar
Keyword(s):  
Lessons Learned ◽  
Suez Canal ◽  
Container Ship ◽  
Engine Room ◽  
Mechanical Breakdown ◽  
Engine Cylinder ◽  
The Cost ◽  
Main Engine

In February 2013, in the 2005 built 15500 TEU 397m long container ship EMMA MÆRSK a severe leakage occurred in as it was passing southbound through the Suez Canal. The leakage occurred due to mechanical breakdown of a stern thruster causing flooding of the shaft tunnel and filling up the engine room with 14000 m³ of seawater within a span of two hours, submerging the main engine cylinder heads-level equal to the outside water draft of 15.1 m. The cost of repairs and loss of revenue for six months amounted to a few million dollars. This paper highlights some of the lessons learned from this incident.

Evaluation of barriers in the adoption of halal certification: a fuzzy DEMATEL approach

2019 ◽  
Vol 14 (1) ◽  
pp. 153-174 ◽  
Author(s):  
Shahbaz Khan ◽  
Mohd Imran Khan ◽  
Abid Haleem
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Specific Region ◽  
Integrative Approach ◽  
Decision Making Process ◽  
Management Support ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Certification System ◽  
Expert’S Opinion

PurposeHigher level of customer satisfaction for halal products can be achieved by the effective adoption of halal certification through assessment and accreditation (HCAA). There are certain issues that seem detrimental towards the adoption of HCAA. The purpose of this paper is to identify the major barriers towards the adoption of HCAA and evaluate inter-relationships among them for developing the strategies to mitigate these barriers.Design/methodology/approachThe barriers towards the adoption of HCAA are identified through an integrative approach of literature review and expert’s opinion. The inter-relationship among the identified barriers is evaluated using fuzzy-based decision-making trial and evaluation laboratory (fuzzy DEMATEL) technique, which categorises them into influential and influenced group.FindingsThe evaluation of inter-relationship among barriers using fuzzy DEMATEL indicates four influencing barriers and six influenced barriers towards the adoption of HCAA. Further, findings suggest an extensive government, and management support is vital in terms of commitment, resources and actions to realise the benefits attributed with HCAA.Research limitations/implicationsThe inter-relationship among barriers is contextual and based on the perception of experts which may be biased as per their background and area of expertise. This study pertains to a specific region and can be extended to the generalised certification system.Originality/valueThe empirical base of the research provides the inter-relationship among the barriers towards the adoption of HCAA which can be effectively used as input in the decision-making process by producers, manufacturers and distributor. The policy maker can analyse the cause group and effect group of barriers to formulate policies that would help in the adoption of HCAA.

Efficient Intrusion Detection for High-Speed Networks

2012 ◽  
Vol 263-266 ◽  
pp. 2915-2919
Author(s):  
Gao Long Ma ◽  
Wen Tang
Keyword(s):  
Intrusion Detection ◽  
Error Detection ◽  
Intrusion Detection System ◽  
High Speed ◽  
Detection System ◽  
Heavy Traffic ◽  
High Speed Networks ◽  
Network Intrusion ◽  
Traffic Loads ◽  
Rule Sets

With the great increasing of high-speed networks,the traditional network intrusion detection system(NIDS) has a serious problem with handling heavy traffic loads in real-time ,which may result in packets loss and error detection . In this paper we will introduce the efficient load balancing scheme into NIDS and improve rule sets of the detection engine so as to make NIDS more suitable to high-speed networks environment.

scholarly journals STUDI PENURUNAN PRESSURE STEAM PADA AUXILIARY BOILER DI MV. SITU MAS YANG MEMPENGARUHI KINERJA MAIN ENGINE

2021 ◽  
Vol 23 (1) ◽  
pp. 81-85
Author(s):  
Darmana Eka ◽  
Muhamad Rusdiantoro ◽  
Agus Saleh
Keyword(s):  
Settling Tank ◽  
Fuel Oil ◽  
Instruction Manual ◽  
Pressure Steam ◽  
Main Engine

Kasus menurunnya tekanan boiler terjadi di kapal MV. Situ Mas. Hal ini mempengarui kebutuhan steam untuk memanaskan HFO, minyal lumas, dan akomodasi menjadi tidak terpenuhi. Tujuan dari penelitian ini untuk mengetahui penyebab menurunnya tekanan boiler dan cara mengatasinya. Penelitian berdasarkan studi kasus di MV. Situ Mas Metode pengumpulan data diperoleh dengan cara observasi langsung di tempat penelitian, diskusi maupun wawancara dengan crew kapal dan studi pustaka yang bersumber dari instruction manual maupun standard operasional prosedur. Dari data data tersebut kemudian dilakukan analisis dengan pendekatan kualitatif diskriptif. Hasil studi menunjukkan penurunan pressure steam pada auxiliary boiler di MV. Situ Mas disebabkan oleh kegagalan pembakaran akibat bahan bakar boiler jenis HFO yang tercampur air yang berawal dari minyak kotor yang berada didalam Fuel Oil Leak Tank di transfer ke Settling Tank. Hal ini akibat kekurangtepatan analisa pengambilan keputusan yang mengunakan kembali minyak dari fuel oil leak tank. Upaya mengatasi hal tersebut dengan memindah jenis bahan bakar dari HFO ke MDO dan di drain sisa air yang ada di pipa bahan bakar

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