scholarly journals A Comprehensive Failure Risk Assessment Method of Machining Center Component Based on Topology Analysis

2022 ◽  
Vol 12 (1) ◽  
pp. 423
Author(s):  
Liming Mu ◽  
Yingzhi Zhang ◽  
Guiming Guo
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Failure Modes ◽  
Assessment Method ◽  
Topology Analysis ◽  
Propagation Failure ◽  
Machining Center ◽  
Failure Risk ◽  
Risk Assessment Method ◽  
Influence Degree

The risk assessment of the failure mode of the traditional machining center component rarely considers the topological characteristics of the system and the influence of propagation risks, which makes the failure risk assessment results biased. Therefore, this paper proposes a comprehensive failure risk assessment method of a machining center component based on topology analysis. On the basis of failure mode and cause analysis, considering the correlation of failure modes, Analytic Network Process (ANP) is used to calculate the influence degree of failure modes, and it is combined with component failure mode frequency ratio and failure rate function to calculate independent failure risk. The ANP model of the machining center is transformed into a topological model, and the centrality measurement of network theory is used to analyze the topology of the machining center. The weight of the topological structure index is measured by subjective and objective weighting methods, and then the importance degree of the machining center component is calculated. In this paper, the coupling degree function is introduced to calculate the importance of the connection edge, which is combined with the failure probability to calculate the failure propagation influence degree, and the component propagation failure risk is calculated based on this. Finally, the independent failure risk and the propagation failure risk of the component are integrated to realize the failure risk assessment of the component. Taking a certain type of machining center as an example to illustrate the application, compared with the traditional assessment method, the effectiveness and advancement of the method proposed in this paper have been verified.

A failure mode and risk assessment method based on cloud model

2019 ◽  
Vol 31 (6) ◽  
pp. 1339-1352 ◽  
Author(s):  
Xinlong Li ◽  
Yan Ran ◽  
Genbao Zhang ◽  
Yan He
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Cloud Model ◽  
Assessment Method ◽  
Risk Assessment Method

scholarly journals Research on measuring device and quantifiable risk assessment method based on FMEA of escalator brake

2021 ◽  
Vol 13 (3) ◽  
pp. 168781402110019
Author(s):  
Haixia Ma ◽  
Zhongxing Li ◽  
Zhidong Wang ◽  
Ruijue Feng ◽  
Gang Li ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Measurement Error ◽  
Failure Mode ◽  
Measurement Method ◽  
Assessment Method ◽  
Distance Measurement ◽  
Assessment System ◽  
Measuring Device ◽  
Risk Assessment Method ◽  
Braking Distance

To improve the accuracy of braking distance measurement and reduce the impact of human factors on brake risk assessment of escalators, a non-contact braking distance measuring device based on infrared ranging principle is designed. Futher, a quantifiable risk assessment method of brake based on failure mode and effects analysis (FMEA) is propose in this paper. Characteristics and trends of distance changes during emergency braking process of the escalator are theoretically analyzed. To extract, process, and recognize the distance change signals, and finally to realize accurate measurement of the braking distance, a high-speed infrared distance measurement technology is used. Influencing factors of the escalator brake performance are studied. The risk analysis method based on FMEA is used to analyze its failure mode, failure mechanism, and consequences of the failure. A risk index assessment system is constructed and quantified. The test results show that the measurement error of the device designed is 1.6%, which is 1/6 of the traditional measurement method. The repeated measurement error of the device is 1.4%, which is 1/7 of the traditional measurement method. Application results show that the quantifiable risk assessment method quantifies and assigns the risk level according to the weight, which effectively avoids the inconsistent results caused by human bias. The evaluation results are more scientific and reliable.

Benchmarking for up-to-date risk assessment methods for safety assurance

2017 ◽  
pp. 5-15 ◽  
Author(s):  
Roman Gabdulkhakov ◽  
Rinat Yagudin ◽  
Askar Bakhtiyarov ◽  
Elena Elizareva ◽  
Roman Marvanov
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Practical Importance ◽  
Research Work ◽  
Assessment Method ◽  
Assessment Methods ◽  
Good Time ◽  
Event Tree ◽  
Risk Assessment Method ◽  
Criticality Analysis

Objective: Performing a multiple factor analysis of the existing risk assessment methods based on the developed applicability characteristics for a given method at risk assessment phases. To ensure both industrial and environmental safety, a risk-based approach has become specifically relevant as one of the efficient instruments used in crisis management. Methods: When a risk analysis for hazardous industrial facilities is performed for potential emergencies, such analysis should be done along two primary lines – identifying the risk for preventive protection and insurance measures to be correctly arranged and implemented, as well as forecasting how the consequences of risks actualized will evolve for immediate protective measures to be arranged and planned in good time. At the same time, there are now scores of risk assessment methods, approaches and methodical guidelines for calculation that are notionally divided into five primary groups: observation methods, supplementary methods, scenario analysis, functional analysis, statistical methods. Each risk assessment method has its own specifics, field of use, relevant parameters and qualitative and quantitative characteristics expressed. Results: maintenance and toxicological risk assessment are excluded from the risk assessment methods, the most efficient methods being identified as follows: Failure mode and effects analysis (FMEA) and Failure mode, effects and criticality analysis (FMECA), maintenance focused on reliability assurance, Human reliability analysis (HRA), Event tree analysis (ETA), Layer of protection analysis (LOPA), Structured what if technique (SWIFT). Practical importance: For making a reasonable choice between the methods, benchmarking for the above methods has been performed on which basis the most acceptable approaches are identified. The resulting risk assessment method comparison table has a practical relevance for design and research work performed in forecasting and analyzing industrial and environmental hazards.

scholarly journals Risk assessment on occupational accident of apartment building structural work with Failure Mode and Effect Analysis (FMEA) method

2019 ◽  
Vol 276 ◽  
pp. 02016 ◽  
Author(s):  
Anik Ratnaningsih ◽  
Syamsul Arifin ◽  
Hernu Suyoso ◽  
Anita Trisiana ◽  
Nizam Azkha Yusuf
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
High Elevation ◽  
Assessment Method ◽  
Occupational Accidents ◽  
Occupational Accident ◽  
Effect Analysis ◽  
Structural Work ◽  
Risk Assessment Method ◽  
Fmea Method

The apartment is a vertical building used for residential purposes. It is included in a high rise building category with high occupational risk accident level due to its work complexity, or high elevation factors. This research discussed the risk assessment of occupational accident at one of the apartment constructions in Surabaya in order to determine its dominant risk factors and mitigation. Failure Mode and Effect Analysis (FMEA) method was applied to this research. It is a risk assessment method based on severity, occurrence, and detection. Following the relevant assessment, it resulted in 3 types of occupational accidents with the highest Risk Priority Number, namely height work accident, falling material from tower crane, and risk of landslide excavation.

scholarly journals An Improved Failure Risk Assessment Method for Bilge System of the Large Luxury Cruise Ship under Fire Accident Conditions

2021 ◽  
Vol 9 (9) ◽  
pp. 957
Author(s):  
Zhongzhi Liu ◽  
Zhiwei Guo ◽  
Yongqing Li ◽  
Libao Zhu ◽  
Chengqing Yuan
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Assessment Method ◽  
Calculation Model ◽  
Risk Coefficient ◽  
Failure Risk ◽  
Risk Assessment Method ◽  
Weight Calculation ◽  
Accident Conditions ◽  
Fire Accident

This paper develops an improved failure risk assessment method and discusses the risk control measures for a large luxury cruise ship’s bilge system under fire accident conditions. The proposed method incorporates an expert weight calculation model and a risk coefficient calculation model. The expert weight calculation model considers the differences in experts’ expertise levels (i.e., qualification level, decision-making capacity, and decision-making preference). Further, the method integrates the evaluations resulting from fuzzy analytic hierarchy process (FAHP) and extended fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) of different experts. The risk coefficient (RC) calculation model utilizes a three-dimensional continuous matrix, serving to determine the risk factors’ ratings. The influences of the expert weight and RC calculation models on the proposed method’s performance are studied through a sensitivity analysis. The work demonstrates that the proposed method minimizes the issues encountered when using conventional methods for determining risk ratings. Finally, the results of an empirical study comprising ten experts evaluating the VISTA cruise ship’s bilge system prove the applicability of the proposed method and offer practical design guidelines to meet the regulations for Safe Return to Port (SRtP).

Wind Turbine Risk Assessment Using Modified Failure Mode and Effects Analysis

2013 ◽  
Vol 385-386 ◽  
pp. 1141-1144
Author(s):  
Yu Liang Dong ◽  
Ye Su ◽  
Cheng Bing He
Keyword(s):  
Risk Assessment ◽  
Wind Turbine ◽  
Failure Mode ◽  
Assessment Method ◽  
Risk Level ◽  
Grey Theory ◽  
History Data ◽  
Risk Assessment Method ◽  
Maintenance Decisions ◽  
High Degree

Aiming at the problem that the failure history data available from wind turbine are scarce and often accompanied with a high degree of uncertainty, the risk assessment using traditional failure mode and effects anaysis (FMEA) may not be well-suited. A wind turbine risk assessment method based on modified FMEA is proposed. The method introduces grey theory into traditional FMEA and use the degree of relation to rank risk level. The method is then used to assess the risk of a 1.5MW wind turbine. It is proved that this method can rank the risks of main failure modes.The assessment results can be used as a support for risk based maintenance decisions.

scholarly journals A Novel FMEA Model Based on Rough BWM and Rough TOPSIS-AL for Risk Assessment

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 874 ◽  
Author(s):  
Tai-Wu Chang ◽  
Huai-Wei Lo ◽  
Kai-Ying Chen ◽  
James Liou
Keyword(s):  
Risk Assessment ◽  
Failure Modes ◽  
Assessment Method ◽  
Evaluation Framework ◽  
Solution Technique ◽  
Risk Assessment Method ◽  
Proposed Model ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Potential Failure

Failure mode and effects analysis (FMEA) is a risk assessment method that effectively diagnoses a product’s potential failure modes. It is based on expert experience and investigation to determine the potential failure modes of the system or product to develop improvement strategies to reduce the risk of failures. However, the traditional FMEA has many shortcomings that were proposed by many studies. This study proposes a hybrid FMEA and multi-attribute decision-making (MADM) model to establish an evaluation framework, combining the rough best worst method (R-BWM) and rough technique for order preference by similarity to an ideal solution technique (R-TOPSIS) to determine the improvement order of failure modes. In addition, this study adds the concept of aspiration level to R-TOPSIS technology (called R-TOPSIS-AL), which not only optimizes the reliability of the TOPSIS calculation program, but also obtains more potential information. This study then demonstrates the effectiveness and robustness of the proposed model through a multinational audio equipment manufacturing company. The results show that the proposed model can overcome many shortcomings of traditional FMEA, and effectively assist decision-makers and research and development (R&D) departments in improving the reliability of products.

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