scholarly journals Failure Risk Analysis on Screw Compressor using Failure Mode and Effect Analysis (FMEA) Method

2019 ◽  
Author(s):  
Hendrik Elvian Gayuh Prasetya ◽  
Joke Pratilastiarso ◽  
Radina Anggun Nurisma ◽  
Sulkan Efendi ◽  
Fifi Hesty Sholihah
Keyword(s):  
Risk Analysis ◽  
Failure Mode ◽  
Screw Compressor ◽  
Effect Analysis ◽  
Failure Risk ◽  
Fmea Method

FMEA method in operational reliability of forest harvesters

2020 ◽  
Vol 11 (1) ◽  
pp. 29-38
Author(s):  
Ján Kováč ◽  
Pavol Ťavoda ◽  
Jozef Krilek ◽  
Pavol Harvánek
Keyword(s):  
Failure Mode ◽  
Working Conditions ◽  
Operational Reliability ◽  
Human Potential ◽  
Information Analysis ◽  
Effect Analysis ◽  
Operational Conditions ◽  
Its Analysis ◽  
Fmea Method ◽  
Operational Data

AbstractThe article deals with the research of operational reliability of forest felling machines by FMEA method (Failure Mode and Effect Analysis). It describes collection of operational data and its analysis. It explains the procedure of realization for the method FMEA in the organization. Harvesters John Deere 1070D in the Company Lesy SR B. Bystrica were chosen for this research. The research was held in real operational conditions. Application of the FMEA method allows flexibility in case of unexpected situations and optimization of human potential abilities. FMEA tool is a tool preventing outages operational reliability and preventive tool for ensuring the maintenance of facilities. The method of information analysis mentioned below is simple ale precise enough for implementation in real working conditions.

A novel failure mode and effect analysis model for machine tool risk analysis

2019 ◽  
Vol 183 ◽  
pp. 173-183 ◽  
Author(s):  
Huai-Wei Lo ◽  
James J.H. Liou ◽  
Chun-Nen Huang ◽  
Yen-Ching Chuang
Keyword(s):  
Risk Analysis ◽  
Machine Tool ◽  
Failure Mode ◽  
Analysis Model ◽  
Effect Analysis

scholarly journals Reliability Analysis of Forest Machines Due to FMEA Method

2018 ◽  
Vol 26 (4) ◽  
pp. 200-206
Author(s):  
Pavol Ťavoda ◽  
Ján Kováč ◽  
Zygmunt Ł Łukaszczyk
Keyword(s):  
Reliability Analysis ◽  
Failure Mode ◽  
Real World ◽  
Operational Reliability ◽  
Reliability Theory ◽  
Human Potential ◽  
Effect Analysis ◽  
Operational Conditions ◽  
Operating Variable ◽  
Fmea Method

Abstract The article deals with the research of operational reliability of forest felling machines with the method FMEA (Failure Mode and Effect Analysis) and its implementation for observed machines in the organization. Forwarders 810D by John Deere were chosen for this research. The research was realized in real operational conditions. Application of the FMEA method allows flexibility in case of unexpected situations and optimization of human potential abilities. FMEA tool is a tool preventing outages operational reliability and preventive tool for ensuring the maintenance of facilities. This paper explores and verifies the operational reliability theory in practical real-world conditions, resulting in a reduction in operating (variable) costs, minimization of failures and readiness and increased performance of observed machines.

scholarly journals Parameters Assessment of the FMEA Method by Means of Fuzzy Logic

2018 ◽  
Vol 2 (Special edition 2) ◽  
pp. 123-132
Author(s):  
Jasminka Bonato ◽  
Martina Badurina ◽  
Julijan Dobrinić
Keyword(s):  
Fuzzy Logic ◽  
Failure Analysis ◽  
Failure Mode ◽  
Mathematical Function ◽  
Analysis Method ◽  
Effect Analysis ◽  
New Approach ◽  
System Failures ◽  
Numerical Indicator ◽  
Fmea Method

The paper aims at presenting the FMEA method based on the fuzzy technique, representing a new approach to the failure analysis and its effects on the observed system. The FMEA (Failure Mode and Effect Analysis) method has assigned the risks a coefficient i.e. a numerical indicator that very clearly defines the degree of risk. The risk is calculated as a mathematical function of RPN which depends on the effects S, probability O that some case will lead to a failure and to a probability that a failure D can not be detected before its effects are realized. RPN = S O D. The FMEA method, based on the fuzzy logic, makes a more reliable evaluation of the observed system failures possible.

Failure Mode and Effect Analysis (FMEA) for Enhancing Reliability of Water Tube Boiler in Thermal Power Plant

2016 ◽  
Vol 8 (02) ◽  
pp. 79-86
Author(s):  
Kapil Dev Sharma ◽  
Shobhit Srivastava
Keyword(s):  
Power Plant ◽  
Failure Mode ◽  
Thermal Power Plant ◽  
Failure Modes ◽  
Thermal Power ◽  
Effect Analysis ◽  
Water Tube ◽  
Potential Failure ◽  
Fmea Method ◽  
Continuous Power

Failure mode and effect analysis is one of the QS-9000 quality system requirement supplements, with a wide applicability in all industrial fields. FMEA is the inductive failure analysis instruments which can be defined as a methodical group of activities intended to recognize and evaluate the potential failure modes of a product/ process and its effects with an aim to identify actions which could eliminate or reduce the chance of the potential failure before the problem occur. The purpose of this paper is to evaluate the FMEA research and application in the Thermal Power Plant Industry. The research will highlight the application of FMEA method to water tubes (WT) in boilers with an aim to find-out all the major and primary causes of boiler failure and reduce the breakdown for continuous power generation in the plant. Failure Mode and Effect Analysis technique is applied on most critical or serious parts (components) of the plant which having highest Risk Priority Number (RPN). Comparison is made between the quantitative results of FMEA and reliability field data from real tube systems. These results are discussed to establish relationships which are useful for future water tube designs.

Evaluating the Risk of Failure on Injection Pump Using Fuzzy FMEA Method

2014 ◽  
Vol 657 ◽  
pp. 976-980 ◽  
Author(s):  
Nicoleta Rachieru ◽  
Nadia Belu ◽  
Daniel Constantin Anghel
Keyword(s):  
Failure Mode ◽  
Traditional Method ◽  
Assessment Model ◽  
Risk Level ◽  
Analysis Method ◽  
Effect Analysis ◽  
Pump Design ◽  
Injection Pump ◽  
Fuzzy Fmea ◽  
Fmea Method

This research is aimed at utilizing failure mode and effect analysis (FMEA) which is a reliability analysis method applicable to rotary injection pump design. In traditional FMEA, Risk Priority Number (RPN) ranking system is used to evaluate, the risk level of failures to rank failures and to prioritize actions. RPN is obtained by multiplying the scores of three risk factors like the Severity (S), Occurrence (O) and Detection (D) of each failure mode. RPN method can not emphasise the nature of the problem, which is multi-attributable and has a group of experts' opinions. Furthermore, attributes are subjective and have different importance levels. In this paper, a framework is proposed to overcome the shortcomings of the traditional method through the fuzzy set theory. Two case studies have been shown to demonstrate the methodology thus developed. It is illustrated a parallel between the results obtained by the traditional method and fuzzy logic for determining the RPNs. We expect that fuzzy FMEA model will assist FMEA team in assess and rank risks more precisely compared with risk assessment model of method.

Dam ageing diagnosis and risk analysis: Development of methods to support expert judgment

2006 ◽  
Vol 43 (2) ◽  
pp. 169-186 ◽  
Author(s):  
Laurent Peyras ◽  
Paul Royet ◽  
Daniel Boissier
Keyword(s):  
Risk Analysis ◽  
Functional Model ◽  
Physical Modelling ◽  
Graph Representation ◽  
Effect Analysis ◽  
Practical Applications ◽  
Knowledge Database ◽  
Performance Loss ◽  
Dam Stability ◽  
Fmea Method

Diagnosis and risk analysis are essential to ensure the safety of dams. Dam specialist engineers have useful methods available to help them in their task: physical modelling for assessing dam stability, statistical analysis of dam monitoring data, and, more recently, functional modelling for operational safety analysis. However, an expert's judgment is necessary when the works are complex and unique, when data are imprecise or insufficient, and when preliminary diagnosis or detailed analysis are being made. Using their experience and knowledge, dam specialist engineers are able to provide recommendations to address specific problems. The authors propose methods to support expert diagnosis and risk analysis that capitalize on the expert's knowledge and feedback. Their approach is threefold: (i) an ageing functional model based on the failure mode and effect analysis (FMEA) method using a causal graph representation of ageing scenarios leading to loss of functions; (ii) a qualitative method of describing dam ageing historical data and representing trends in performance loss; and (iii) qualitative methods to assess the risk of performance loss of dams and their components. In terms of practical applications, our research has produced a knowledge database on dam mechanisms. Also, an ageing historical database was compiled from dams that have experienced deterioration. Finally, we are developing computer aids to assist engineers in diagnosis and risk analysis tasks.Key words: dam, diagnosis, risk analysis, ageing, criticality.

scholarly journals Analisis Penyebab Kerusakan Hot Rooler Table dengan Menggunakan Metode Failure Mode And Effect Analysis (FMEA)

2018 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Muhamad Bob Anthony
Keyword(s):  
Failure Mode ◽  
Section Mill ◽  
Effect Analysis ◽  
Iron And Steel ◽  
Furnace Section ◽  
Human Aspects ◽  
Process Failure ◽  
Mill Unit ◽  
Fmea Method ◽  
Fmea Analysis

This research was conducted in an international company engaged in iron and steel products manufacturing industries. One of the equipment that is often damaged is a hot roller table machine in the furnace section mill unit. The availability results obtained in hot roller table equipment is 96.571% and is still below the company standard which is set at 98%. Therefore, we need an analysis of the root causes of the problem and search for the best solution to fix the existing problem by applying the method of Failure Mode and Effect Analysis (FMEA). FMEA is a method that can systematically and structurally analyze and identify the consequences of a system or process failure, and also reduce or analyze the probability of failure. The purpose of this study is to identify and analyze the level of damage and its causes with the application of the FMEA method. Based on the pareto diagram the damage to the hot roller table machine, it was found that the highest frequency of damage was in the rotary coupling with a down time percentage of 26.9%. From the FMEA Analysis, two components that have very high RPN values are categorized as potential severit i.e. bearing as the first with an RPN value of 392 and the second is a seal ring with an RPN value of 294. The two components are the main priority for repair of the furnace section. mill, especially for machine and human aspects.

scholarly journals Risk Analysis in the Automotive Industry

2020 ◽  
Author(s):  
Annamária Koncz ◽  
László Pokorádi ◽  
Zsolt Csaba Johanyák
Keyword(s):  
Risk Analysis ◽  
Failure Mode ◽  
Automotive Industry ◽  
Root Cause Analysis ◽  
Automotive Sector ◽  
Analysis Method ◽  
Effect Analysis ◽  
Cause Analysis ◽  
Root Cause ◽  
Safety And Reliability

The automotive industry is one of the most dynamically growing fields of the manufacturingarea. Besides this, it has very strict rules concerning safety and reliability. In our work, our aim is to point out the importance of the automotive industry (based on statistics) and the rules in connection with risk and root cause analysis. The most important risk analysis method is the Failure Mode and Effect Analysis (FMEA). According to standards and OEM regulations, FMEA is obligatory in the automotive sector. In our study, we summarise the area of FMEA usage, its types and process steps.

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