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.

Prospective risk analysis adjusted to the reality of clinical and fertility laboratory processes

Diagnosis ◽  
2015 ◽  
Vol 2 (4) ◽  
pp. 235-243 ◽  
Author(s):  
Pim M.W. Janssens ◽  
Anja Scholten ◽  
Harm De Waard ◽  
Natascha Tiemens ◽  
Monique Van Uum ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Laboratory Testing ◽  
Clinical Laboratory ◽  
Practical Application ◽  
Laboratory Practice ◽  
Effect Analysis ◽  
Clinical Laboratories ◽  
Prospective Risk ◽  
Fmea Method ◽  
Clinical Laboratory Testing

AbstractProspective risk analysis (PRA) is a valuable instrument in quality assurance. The practical application of PRA in clinical laboratories according to the method we have described elsewhere leaves room for a number of adaptations to make it more applicable to and consistent with actual laboratory processes.We distinguished between more and less critical tests and products in the laboratory processes and scored the consequences of failures at different steps in line with the previously described failure type and effect analysis (FMEA) method. PRA was carried out for two typical laboratory processes: standard clinical laboratory testing and the cryopreservation of semen.Tests in standard clinical laboratory in processes were labeled critical, semi-critical or non-critical. Consequence scoring (C) and assessed risk (R) were significantly higher for processes containing tests considered to be critical (C=6.6±1.5, R=19.3±13.5) as compared to processes containing tests considered semi- or non-critical (C=3.0±1.4, R=8.2±5.3 and C=3.2±1.8, R=8.6±5.9, respectively). There were no differences in the C and R scores for processes with tests considered semi- or non-critical. In the semen cryopreservation process, a distinction between the processes involving private semen and generally accessible semen was made. The C scores for these were significantly different (C=5.9±2.2 and 5.0±2.0, respectively), the R scores did not differ.Introduction of a test criticality classification for the purpose of consequence scoring led to an improved PRA methodology, better reflecting the reality of clinical laboratory practice. We found that two levels of criticality, critical and less critical, were sufficient to achieve this improvement.

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.

Applying Function-Based Failure Propagation in Conceptual Design

2007 ◽  
Author(s):  
Daniel Krus ◽  
Katie Grantham Lough
Keyword(s):  
Risk Analysis ◽  
Product Design ◽  
Conceptual Design ◽  
Functional Model ◽  
Thermal Control ◽  
Design Phase ◽  
Historical Knowledge ◽  
Conceptual Design Phase ◽  
Failure Propagation ◽  
Potential Risks

When designing a product, the earlier the potential risks can be identified, the more costs can be saved, as it is easier to modify a design in its early stages. Several methods exist to analyze the risk in a system, but all require a mature design. However, by applying the concept of “common interfaces” to a functional model and utilizing a historical knowledge base, it is possible to analyze chains of failures during the conceptual phase of product design. This paper presents a method based on these “common interfaces” to be used in conjunction with other methods such as Risk in Early Design in order to allow a more complete risk analysis during the conceptual design phase. Finally, application of this method is demonstrated in a design setting by applying it to a thermal control subsystem.

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 ANALYSIS AND PREVENTION OF RISKS IN THE MANUFACTURE OF LABORATORY MICROBIOLOGICAL CULTURE MEDIA BY FMEA METHOD

2019 ◽  
Vol 14 (1) ◽  
pp. 90-98
Author(s):  
Vladimir E Nikitchenko ◽  
Ekaterina O Rystsova ◽  
Anastasiya N Chernysheva
Keyword(s):  
Risk Assessment ◽  
Culture Media ◽  
Negative Consequences ◽  
Nutrient Media ◽  
Effect Analysis ◽  
Risk Levels ◽  
Assessment Protocol ◽  
Operational Risks ◽  
Microbiological Laboratory ◽  
Fmea Method

At all stages of the production of microbiological nutrient media (MNM), the manufacturer, and in particular, the microbiological laboratories that manufacture the media on site, face many operational risks. The presence of such risks, in almost every critical point of production and further operation of the MNM, is due to the presence of common basic requirements for all MNM, which must be taken into account and respected during their development and preparation; as well as the complexity and laboriousness of the very process of manufacturing high-quality differential-diagnostic and other nutrient media, requiring the availability of all the components necessary for preparing these media, equipment, sterile conditions and qualified personnel. In this regard, there is a need to search for effective methods to identify and prevent undesirable situations associated with the production and use of MNM. The aim of this work was to adapt the risk assessment methodology based on the expert method for analyzing the types and consequences of FMEA failures (Failure Mode Effect Analysis) set out in GOST R ISO 31010-2011 for the needs of microbiological laboratories, including those for veterinary and sanitary expertise, producing microbiological nutrient environments and using them. As part of this work, a comparative analysis of risk assessment methods was carried out in order to select the optimal one; adaptation of the QMS principle - risk-oriented thinking and the FMEA method for risk assessment in the implementation of MNM manufacturing processes in a microbiological laboratory (for example, solid agar media); risk assessment protocol forms were developed; calculations of a quantitative assessment of risk levels were carried out in order to determine the need for preventive actions and their implementation in order to minimize the negative consequences of risk in case of its implementation using the developed protocols. The results showed that this technique can be successfully implemented and used in the claimed area.

scholarly journals Risk analysis of production process for food SMEs using FMEA method: a case study

2021 ◽  
Vol 331 ◽  
pp. 02010
Author(s):  
Prima Fithri ◽  
Muhammad Rafi ◽  
Pawenary ◽  
A. S. Prabuwono
Keyword(s):  
Human Resources ◽  
Production Process ◽  
Critical Value ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Increase Productivity ◽  
Fmea Method ◽  
Bread Production ◽  
A Company

The increasing development of the industry makes every industry have to compete with other competitors to gain an edge. The advantages of competition are influenced by several factors, one of which is good human resource management. Where if a company has good human resources, it will increase profits indirectly and can increase productivity. This research discusses case studies about the potential dangers of IKM Heppy Bakery’s potential dangers that can harm workers in bread production. The method used is Failure Mode And Effect Analysis (FMEA). Later, the data will be filled and given a rating distinguished into three parts: severity, occurrence, and detection. The data were obtained through questionnaires given to 3 workers at IKM Heppy Bakery and filled in rating values based on the provisions that have been given to the questionnaire. This Value helps determine the Risk Priority Number (RPN) obtained from multiplication between severity, occurrence, and detection. After processing the RPN multiplication data, the highest RPN value was obtained by 193 with the danger factor of the operator overheating and dehydrating due to high temperatures. Furthermore, the calculation of critical Value was obtained by 109. Based on the critical Value obtained seven hazard factors above the critical value, these seven hazard factors need to be improved so that workers do not avoid accidents when conducting the production process.

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.

Use of Failure Mode and Effects Analysis (FMEA) Method in Remanufacturing Analysis for Engine Block

2013 ◽  
Vol 465-466 ◽  
pp. 1026-1033 ◽  
Author(s):  
Tajul Ariffin Abdullah ◽  
Akmal Hashim ◽  
Abu Bakar Baharudin ◽  
Dzuraidah Abd Wahab
Keyword(s):  
Failure Mode ◽  
Manufacturing Sector ◽  
Recovery Process ◽  
Production Costs ◽  
Engine Block ◽  
Automotive Sector ◽  
Practical Applications ◽  
Development Capacity ◽  
Durable Products ◽  
Fmea Method

Over this recent year, a growing population that increase the economic development, capacity of landfills and critical environmental impact are gaining the importance role of remanufacturing activities. Moreover, many durable products are disposed in landfills at the end of their useful lives without undergoing by any recovery process that affect the landfill space has been decreasing in all over the world including by our country. Remanufacturing is the process by which used products are returned to their new state with minimum waste and expenditure on materials and energy. This study focus on the concept concept of remanufacturing practice in automotive sector. Malaysians have been generated wastes at a manufacturing sector especially in the automotive sector. On top of that, the conventional remanufacturing systems that have been constructed in Malaysia are not widely marketed and lack of practical applications. This study provides a remanufacturing analysis for improvement to the automotive sectors on engine block. Furthermore, this study presents the information based on the discussion of Failure Mode and Effects Analysis (FMEA) to encourage the implementation of remanufacturing activities. By making the remanufacturing activities possible to implement efficiently, manufacturer may decrease their production costs, decrease refuse and landfill materials, and increase their quality management.

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