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Failure Mode and Effects Analysis Based on Z-numbers and the Graded Mean Integration Representation

Computer Modeling in Engineering & Sciences 2023年第2期134卷 1005-1019页

作者： Hanhan Zhang Zhihui Xu Hong Qian Xiaoyan Su School of Automation Engineering Shanghai University of Electric PowerShanghai200090China State Key Laboratory of Nuclear Power Safety Monitorig Technology and Equipment Shenzhen518172China

Failuremode and effects analysis(FMEA)is a widely used safety assessmentmethod inmany fields.Z-number was previously applied in FMEA since it can take both possibility and reliability of information into ***,the use of fuzzy weighted mean to integrate Z-valuations may have some drawbacks and is not suitable for some *** this paper,an improved method is proposed based on Z-numbers and the graded mean integration representation(GMIR)to deal with the uncertain information in ***,Z-numbers are constructed based on the evaluations of risk factors O,S,D for each failure mode by different ***,weights of the three risk factors and experts are ***,the integration representations of Z-numbers are obtained by a newmethod based on the ***,risk priorities of the failure modes are derived considering the weights of experts and risk *** examples and a case study are given to show the use of the proposed method and comparison with other *** results show that the proposed method is more reasonable,universal and simple in calculation.

关键词： Safety assessment FMEA risk priority number Z-number the graded mean integration representation

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risk Management of Key Issues of FPSO

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Journal of Marine Science and Application 2012年第4期11卷 402-409页

作者： Liping Sun Hai Sun College of Shipbuilding Engineering Harbin Engineering UniversityHarbin 150001China

risk analysis of key systems have become a growing topic late of because of the development of offshore structures. Equipment failures of offioading system and fire accidents were analyzed based on the floating production, storage and offioading （FPSO） features. Fault tree analysis （FTA）, and failure modes and effects analysis （FMEA） methods were examined based on information already researched on modules of relex reliability studio （RRS）. Equipment failures were also analyzed qualitatively by establishing a fault tree and Boolean structure function based on the shortage of failure cases, statistical data, and risk control measures examined. Failure modes of fire accident were classified according to the different areas of fire occurrences during the FMEA process, using risk priority number （RPN） methods to evaluate their severity rank. The qualitative analysis of FTA gave the basic insight of forming the failure modes of FPSO offioading, and the fire FMEA gave the priorities and suggested processes. The research has practical importance for the security analysis problems of FPSO.

关键词： fault tree analysis (FTA) failure modes and effects analysis (FMEA) risk priority number floating production, storage and offioading ( FPSO) risk management

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Development of Maintenance Management Strategy Based on Reliability Centered Maintenance for Marginal Oilfield Production Facilities

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Engineering（科研） 2023年第3期15卷 143-162页

作者： Olawale D. Adenuga Ogheneruona E. Diemuodeke Ayoade O. Kuye Institute of Engineering Technology and Innovations Management (METI) University of Port Harcourt Port Harcourt Nigeria Energy and Thermofluid Research Group Department of Mechanical Engineering University of Port Harcourt Port Harcourt Nigeria Department of Chemical Engineering University of Port Harcourt Port Harcourt Nigeria

The present work adopted Reliability Centered Maintenance (RCM) methodology to evaluate marginal oilfield Early Production Facility (EPF) system to properly understand its functional failures and to develop an efficient maintenance strategy for the system. The outcome of the RCM conducted for a typical EPF within the Niger Delta zone of Nigeria provides an indication of equipment whose failure can significantly affect operations at the production facility. These include the steam generation unit and the wellhead choke assembly, using a risk-based failure Criticality Analysis. Failure Mode and Effect Analysis (FMEA) was conducted for the identified critical equipment on a component basis. Each component of the equipment was analyzed to identify the failure modes, causes and the effect of the failure. The outcome of the FMEA analysis aided the development of a robust maintenance management strategy, which is based on an optimized mix of corrective, preventive and condition-based monitoring maintenance for the marginal oilfield EPF.

关键词： Criticality Analysis Corrective Maintenance Condition-Based Maintenance Early Production Facility Preventive Maintenance risk priority number

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risk Evaluation in Blood Donation Using Failure Mode and Effective Analysis

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Journal of Biomedical Science and Engineering 2021年第4期14卷 177-184页

作者： Razaz M. Salih Eltahir M. Husein Elias Hassan Department of Biomedical Engineering Sudan University of Science and Technology Khartoum Sudan

The recognition and management of risk in donation process and blood product is critical to ensure donor and patient safety. To achieve this goal, the failure mode and effects analysis (FMEA) is a convenient method;moreover it was used to prevent the occurrence of adverse events and look at what could go strong at each step. This study aimed to utilize FMEA in central blood bank in Khartoum to evaluate the potential risk and adverse event that may occur during the donation process. According to the severity, occurrence and the detection of each failure mode, the risk priority number (RPN) was calculated to determine which of the failures should take priority to find a solution and applying corrective action to reduce the failure risk. The statistical package for social sciences (SPSS) version 11 was used as descriptive and analytical statistics tool. The FMEA technique provides a systematic method for finding vulnerabilities in a process before they result in an error, and in this study a satisfactory outcome was reached.

关键词： Donation Blood Product Donor Failure Mode and Effective Analysis Adverse Event risk priority number

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