Reliability analysis of helicopter emergency flotation system

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1001-1009
Author(s):  
Xing Guo ◽  
Jian-Hong Sun ◽  
Ke Liu ◽  
Tong Zhang ◽  
Ming-Qi Li ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Reliability Design ◽  
Minimal Cut Set ◽  
The Monte Carlo Method ◽  
Cut Set ◽  
Event Based

The reliability of the emergency flotation system of helicopters is analysed by using fault tree analysis and the Monte Carlo method. We constructed a fault tree with the failure of system as the top event and obtained the minimal cut set, the ranking of the structural importance of the bottom events and the probability of the occurrence of the top event. Based on the system fault tree, a Monte Carlo simulation model of the emergency flotation system is established by using Matlab/Simulink. The results show that the Monte Carlo method is feasible and effective for the reliability analysis of the emergency flotation systems of helicopters. Furthermore, the comparison between the criticality importance and mode importance of each subsystem suggests that the control component is the weakest part of the emergency flotation systems, thereby providing a basis for system reliability design and fault diagnosis.

scholarly journals FTA analysis of the failure in the horizontal fluidity test

10.30544/69 ◽  
2015 ◽  
Vol 21 (4) ◽  
pp. 229-240 ◽  
Author(s):  
Peter Blaško ◽  
Jozef Petrík
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Molten Metal ◽  
Potential Risk ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Energy Potential ◽  
Tree Analysis ◽  
The Monte Carlo Method ◽  
Fluidity Test

The purpose of the paper was to evaluate the probability of the top event in the fluidity test by Fault Tree Analysis (FTA). One of the important tests used in the foundry practice is the test of the fluidity. Fluidity is the ability of the molten metal to fill the cavity of the molds and create a cast. The AlSi10MgMn (EN 1706) alloy with 5 or 10.54 % of silica was the experimental material. The melted alloy was cast into "horizontal" three-channel mold to test its fluidity. The pouring temperatures were between 605 and 830 °C. In some cases, the experiment was not successful, for a some reasons. This fact led to a waste of time, energy, potential risk of accident, confusion among participants, especially "beginners" founders and became an impulse for the analysis of creation and possible events of fault for the fluidity test using the FTA. It has been found that for the probability of the top event in examined process was disproportionately high (0.29824). The Monte Carlo method was used for the simulation of the effect of decreasing the probability of basic events on the probability of the top event – the fault of the fluidity test.

Reliability Analysis on Yuwangbian Slop Based on Monte-Carlo Simulation

2011 ◽  
Vol 250-253 ◽  
pp. 3934-3940
Author(s):  
Yi Fang Feng ◽  
Hua Zhi Zhang ◽  
Yu Wang ◽  
Qing Jun Zuo
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Working Condition ◽  
Actual Condition ◽  
Stability Factor ◽  
Analysis Method ◽  
Loess Slope ◽  
The Monte Carlo Method ◽  
The Stability

Based on the Yuwangbian high loess slope, which is located in Xi'an Yanta District, the basic principle of Monte-Carlo method is presented. By means of geotechnical engineering and geotechnical environment emulation software Geostudio-slope/w and based on Morgenstern-Price slope stability analysis method, the reliability and stability of the slope are analyzed under different kinds of working condition. The stability factor, reliability index and failure probability under the corresponding working conditions has been obtained. The results coincide with the actual condition, which makes the Geostudio software combine with the Monte-Carlo method and provides reference for the reliability analysis of loess slope.

An Application of Fault Tree Analysis for Decommissioning of Subsea Flexible Pipeline in Brazil

2019 ◽  
Author(s):  
Rafaela Ramos ◽  
Ilson Pasqualino ◽  
Marcelo Igor L. Souza ◽  
Eduardo Ribeiro Nicolosi
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Third Order ◽  
Tree Analysis ◽  
First Order ◽  
Minimal Cut Set ◽  
Minimal Cut ◽  
Cut Set ◽  
Subsea Pipelines ◽  
Underwater Structures

Abstract The decommissioning of underwater structures has expanded in recent years, as the number of facilities at the end of their useful lives is increasing and legislation becomes more severe. Unlike the production units which already have their decommissioning plans consolidated, subsea pipelines represent the greatest technological, environmental and financial challenge of this stage. Currently, there are few studies to evaluate failures in the decommissioning of flexible pipelines. In addition, these studies generally use simplified analyses. Therefore, this study aims to elaborate a failure analysis for a Reverse Reeling option, in order to contribute to the decision-making process and reduction of failures. For this, a Fault Tree Analysis will be developed followed by the subsequent elaboration of its minimum cut sets. The main results present a total of 13 first-order minimal cut set, 5 second-order minimal cut set and 7 third-order minimal cut set.

scholarly journals Reliability analysis of the security and stability control device based on the Monte Carlo method

2018 ◽  
Vol 145 ◽  
pp. 9-14 ◽  
Author(s):  
Xueming Li ◽  
Zengji Liu ◽  
Yi Tang ◽  
Xu Gao ◽  
Yingxin Ma ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Stability Control ◽  
Control Device ◽  
The Monte Carlo Method

Analisis Penurunan Capaian Target Produksi Bijih Nikel Menggunakan Metode Fault Tree Analysis di PT Ifishdeco Provinsi Sulawesi Tenggara

2020 ◽  
Vol 24 (1) ◽  
pp. 45-50
Author(s):  
Aryanti Virtanti Anas ◽  
Yoshita P Parissing ◽  
Irzal Nur ◽  
Sufriadin Sufriadin ◽  
Purwanto Purwanto ◽  
...  
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Top Down ◽  
Tree Analysis ◽  
Minimal Cut Set ◽  
Minimal Cut ◽  
Selective Mining ◽  
Cut Set ◽  
Production Target ◽  
Main Factor

Abstrak Proses produksi berarti menghasilkan suatu produk yang bernilai guna. Dalam suatu perusahaan pertambangan, produksi merupakan hal yang sangat penting, sehingga diperlukan perencanaan yang matang. Perusahaan menargetkan jumlah bahan galian yang akan diproduksi baik dalam jangka panjang, menengah maupun jangka pendek. Operasi produksi PT. Ifishdeco menggunakan bantuan alat gali muat excavator Komatsu PC 300 dimana terjadi penurunan produksi bijih nikel sebesar 19,94%. Target produksi sebesar 149.934 mt, namun capaian produksi hanya sebesar 116.603mt. Oleh karena itu, penelitian ini dilakukan untuk mengetahui faktor utama dan nilai probabilitas penyebab turunnya capaian produksi. Salah satu metode yang dapat digunakan untuk menganalisis faktor utama penyebab penurunan capaian produksi adalah menggunakan Fault Tree Analysis (FTA). Persamaan logika top down dari Fault Tree Analysis disubstitusi ke dalam aljabar Boolean hingga diperoleh minimal cut set. Minimal cut set merupakan persamaan akhir yang merincikan top down. Top event penurunan capai target produksi memiliki empat top down, yaitu faktor pengisian, kesiapan fisik alat, efektivitas kerja, dan waktu edar alat gali muat. Berdasarkan nilai probabilitas basic event tertinggi yang bernilai 1, maka faktor utama penyebab penurunan capaian produksi adalah dari faktor umur pakai alat tua, penjadwalan perawatan tidak teratur, kualitas alat buruk, dan proses selective mining.   Abstract Analysis of Decrease in Nickel Ore Production Targets Using the Fault Tree Analysis Method in PT Ifishdeco, Southeast Sulawesi Province. Production process meant produce product with beneficial value. At the mining company, production was very important, so it needed to be well-planned. Company was making target amount of digging material to be produced in long term, middle term, and short term. Production operation at PT Ifishdeco utilized digger loader equipment namely excavator Komatsu PC 300. There was decreasing in nickel ore production of 19,94%. Production target was 149,934 mt, but the company was only able to meet 116,603 mt. Objective of this study was to know main factor and probability value which caused the low production performance. One of methods to be used to analyze the main factor was Fault Tree Analysis (FTA). Top down logical equations of Fault Tree Analysis was substituted into Boolean algebra to get minimal cut set. Minimal cut set was a formula of the top down and used to calculate probability. Top event of the decreasing of the production target had four top downs which were filling factor, mechanical availability, effectivity of use, and cycle time of digger loader. Based on the highest probability of basic event which value was equal to 1, the main factor caused the decreasing of productivity were lifetime of equipment, unscheduled of maintenance, low quality of equipment, and selective mining.   Kata Kunci: Excavator, Work Effectivity, Boolean, Cut Set, Probability

Structural Reliability Analysis for UAV Center Wing Based on Stochastic Finite Element

2014 ◽  
Vol 684 ◽  
pp. 208-212 ◽  
Author(s):  
Da Qian Zhang ◽  
Xin Ping Fu ◽  
Xiao Dong Tan
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Structural Reliability ◽  
Engineering Application ◽  
Reliability Design ◽  
Structure Reliability ◽  
Element Method

In general it is difficult to obtain the results directly during process of structural reliability designing because of the complexity of the structure. It can calculate the structure reliability and failure probability effectively according to the combination of finite element method and theory of reliability. This paper introduces a method of structure reliability based on finite element method, summarizes a common method which has an important engineering application value to calculate the reliability such as using Monte-Carlo method to calculate reliability analysis combining with finite element method, recommends a common used software to reliability design and shows the process of using the software to reliability analysis.

scholarly journals A Study on Reliability of Smart Meters based on Monte-Carlo Method and Fault Trees

2021 ◽  
Author(s):  
Ye Chen ◽  
Ziyi Chen ◽  
Yaohua Liao ◽  
Mengmeng Zhu ◽  
Zhihu Hong ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Power Supply ◽  
Fault Tree ◽  
Reliability Function ◽  
Operational Reliability ◽  
Smart Meter ◽  
Smart Meters ◽  
The Monte Carlo Method ◽  
Technical Specifications

Smart meters are widely used in the power supply system, and their operational reliability is closely related to the user’s power supply reliability. It is difficult for intelligent power metering equipment to accurately predict its operational reliability and lifespan based on the existing technical specifications. In order to improve the accuracy of predicting the reliability and the maintenance cycle of the smart meter, this paper proposes a method for predicting the reliability of the smart meter based on the Monte Carlo method and fault tree. Firstly, the occurrence time of the bottom sampling event is simulated by the Monte-Carlo method based on the statistical data of the annual failure rate of each module of the smart meter. Then, according to the Fault Tree analysis of smart meters, the occurrence of the event is transformed into the fault time of the whole smart meters. The interval statistics are used to obtain the reliability value of the smart meter. In the end, the curve of the reliability function is obtained after fitting the reliability value. The results show that the reliability of the smart meter obeys the exponential distribution during the operation of 100 years. When it comes to the tenth year, the reliability is 0.9519. This algorithm provides a guide for accurately predicting its reliability and maintenance cycles by modularly analyzing the faults of smart meters.

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