Safety Assessment of Oil Immersed Transformer Applying Fault Tree Analysis and Functional Block Diagram

2019 ◽  
Vol 15 (8) ◽  
pp. 107-116
Author(s):  
Sang Chul Kim
Keyword(s):  
Safety Assessment ◽  
Block Diagram ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Functional Block Diagram ◽  
Tree Analysis ◽  
Functional Block

Reliability and Fault Tree Analysis: Theoretical and Applied Aspects of System Reliability and Safety Assessment.

1977 ◽  
Vol 72 (358) ◽  
pp. 482 ◽  
Author(s):  
Robert G. Easterling ◽  
R. E. Barlow ◽  
J. B. Fussel ◽  
N. D. Singpurwalla
Keyword(s):  
System Reliability ◽  
Safety Assessment ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis

Fault Tree Analysis for Reliability Evaluation of an Advanced Complex Manufacturing System

2018 ◽  
Vol 17 (01) ◽  
pp. 107-118 ◽  
Author(s):  
Hamed Fazlollahtabar ◽  
Seyed Taghi Akhavan Niaki
Keyword(s):  
System Reliability ◽  
Material Handling ◽  
Manufacturing System ◽  
Block Diagram ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Reliability Evaluation ◽  
Industrial Robots ◽  
Tree Analysis ◽  
Minimal Paths

In this paper, minimal paths and cuts technique is developed to handle fault tree analysis (FTA) on the critical components of industrial robots. This analysis is integrated with the reliability block diagram (RBD) approach in order to investigate the robot system reliability. The model is implemented in a complex advanced manufacturing system having autonomous guided vehicles (AGVs) as material handling devices. FTA grants cause and effects and hierarchical properties to the model. On the other hand, RBD simplifies the complex system of the AGVs for reliability evaluation. The results show that due to the filtering of the paths in a manufacturing system for AGVs, the reliability is highly dependent on the mostly occupied paths by AGVs. The failure probability for the AGV is considered to follow the exponential probability distribution and thus the whole system reliability using minimal paths and cuts method is obtained 0.8741.

Research of the Node Ordering Technique According to the Shortest Fault Tree

2017 ◽  
Author(s):  
Guofeng Tang ◽  
Jingyu Zhang ◽  
Wei Gao ◽  
Qinfang Zhang
Keyword(s):  
Safety Assessment ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Binary Decision ◽  
Tree Analysis ◽  
Advanced Method ◽  
Probabilistic Safety Assessment ◽  
The Core ◽  
Minimal Cut Sets ◽  
Variable Ordering

Zero-suppressed Binary Decision Diagram (ZBDD) algorithm is an advanced method in fault tree analysis, which is developing quickly in recent years and being used in the development of the Probabilistic Safety Assessment (PSA) Quantification Engine. This algorithm converts a fault tree to a ZBDD structure, solves the minimal cut sets and calculates the top node unavailability. The ordering of the basic events and logical gates is the core technique of the ZBDD algorithm, which determines the efficiency of the ZBDD conversion and the size of the ZBDD structure. A variable ordering method based on the structure of the fault tree is developed in this paper, which gives a better basic events order by compressing the fault tree; meanwhile, the method offers a logical gates order. The nodes order derived from this method can accelerate the ZBDD conversion obviously.

scholarly journals Sterilizer Reliability Analysis Using Reliability Block Diagram Based on Failure Identification Through Fault Tree Analysis

2021 ◽  
Vol 2 (1) ◽  
pp. 38-44
Author(s):  
Syamsul Bahri ◽  
Fatimah Fatimah ◽  
Saifuddin Muhammad Jalil ◽  
Amri Amri ◽  
Muhammad Ilham
Keyword(s):  
Block Diagram ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Ball Valve ◽  
Exhaust Valve ◽  
Analysis Tool ◽  
Tree Analysis ◽  
Reliability Block Diagram ◽  
Maintenance Schedule ◽  
Critical Components

A sterilizer is a pressurized steam vessel used to boil palm oil. The condition of the sterilizer at PT .X often emits steam at the door and body of the stew. Throughout 2020, there were 12 critical components that were frequently damaged, such as ball valve, actuator, exhaust valve, packing door, elbow, condensate nozzle, liner, pipe, condensate valve, strainer valve, pipe flange, and packing flange. Fault Tree Analysis is an analysis tool that graphically translates the combinations of errors that cause system failures. Reliability Block Diagram is a diagramming method for showing how reliability components contribute to the success or failure of a complex system. Based on the results of the failure calculation using fault tree analysis, the probability of failure of the horizontal sterilizer component is the ball valve 12.2%, exhaust valve 10.9% actuator 6%, door packing 0.24%, elbow 0.24%, condensate nozzle 4.8%, liner 8.61%, 0.25% pipe, 0.21% condensate valve, 4.4% filter valve, 0.22% pipe flange and 0.27% packing flange. The reliability value of the horizontal sterilizer from the calculation using the reliability block diagram is 85.69% if it operates for 8 hours, 62.93% if it operates for 27 hours, 39.6% if it operates for 54 hours, 13.34% if it operates for 117 hours. o'clock. o'clock. o'clock. hours and 1.81% when operating for 234 hours. To maintain reliability above 60%, the preventive maintenance schedule is: Every 80 hours of operation a door packing inspection is carried out. Every 234 hours of operation, elbow tubing and flanges are checked. Every 300 hours of operation, a pipe inspection is carried out. Every 450 operational hours an inspection is carried out on the ball valve, condensate nozzle, liner, actuator, and exhaust valve. Every 30 hours of operation, valve condensate, filter valves and packing flanges are checked.

scholarly journals Formal Safety Assessment of a Marine Seismic Survey Vessel Operation, Incorporating Risk Matrix and Fault Tree Analysis

2020 ◽  
Vol 19 (2) ◽  
pp. 155-172
Author(s):  
Gregory Asuelimen ◽  
Eduardo Blanco-Davis ◽  
Jin Wang ◽  
Zaili Yang ◽  
Dante Benjamin Matellini
Keyword(s):  
Risk Factors ◽  
Safety Assessment ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Seismic Survey ◽  
Risk Matrix ◽  
Tree Analysis ◽  
Formal Safety Assessment ◽  
Seismic Surveying ◽  
Marine Seismic

Abstract In maritime safety research, risk is assessed usually within the framework of formal safety assessment (FSA), which provides a formal and systematic methodology to improve the safety of lives, assets, and the environment. A bespoke application of FSA to mitigate accidents in marine seismic surveying is put forward in this paper, with the aim of improving the safety of seismic vessel operations, within the context of developing an economically viable strategy. The work herein takes a close look at the hazards in North Sea offshore seismic surveying, in order to identify critical risk factors, leading to marine seismic survey accidents. The risk factors leading to undesirable events are analysed both qualitatively and quantitatively. A risk matrix is introduced to screen the identified undesirable events. Further to the screening, Fault Tree Analysis (FTA) is presented to investigate and analyse the most critical risks of seismic survey operation, taking into account the lack of historical data. The obtained results show that man overboard (MOB) event is a major risk factor in marine seismic survey operation; lack of training on safe work practice, slippery deck as a result of rain, snow or water splash, sea state affecting human judgement, and poor communication are identified as the critical risk contributors to the MOB event. Consequently, the risk control options are focused on the critical risk contributors for decision-making. Lastly, suggestions for the introduction and development of the FSA methodology are highlighted for safer marine and offshore operations in general.

scholarly journals AN INTELLIGENT SYSTEM BY FUZZY RELIABILITY ALGORITHM IN FAULT TREE ANALYSIS FOR NUCLEAR POWER PLANT PROBABILISTIC SAFETY ASSESSMENT

2014 ◽  
Vol 13 (03) ◽  
pp. 1450017 ◽  
Author(s):  
JULWAN HENDRY PURBA ◽  
JIE LU ◽  
GUANGQUAN ZHANG
Keyword(s):  
Quantitative Data ◽  
Nuclear Power ◽  
Safety Assessment ◽  
Intelligent System ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Software Systems ◽  
Analysis Software ◽  
Fuzzy Reliability ◽  
Tree Analysis

Fault tree analysis for nuclear power plant probabilistic safety assessment is an intricate process. Personal computer-based software systems have therefore been developed to conduct this analysis. However, all existing fault tree analysis software systems only accept quantitative data to characterized basic event reliabilities. In real-world applications, basic event reliabilities may not be represented by quantitative data but by qualitative justifications. The motivation of this work is to develop an intelligent system by fuzzy reliability algorithm in fault tree analysis, which can accept not only quantitative data but also qualitative information to characterized reliabilities of basic events. In this paper, a newly-developed system called InFaTAS-NuSA is presented and its main features and capabilities are discussed. To benchmark the applicability of the intelligent concept implemented in InFaTAS-NuSA, a case study is performed and the analysis results are compared to the results obtained from a well-known fault tree analysis software package. The results confirm that the intelligent concept implemented in InFaTAS-NuSA can be very useful to complement conventional fault tree analysis software systems.

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