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.

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 risk assessment method based on RBF artificial neural network - cloud model for urban water hazard

2014 ◽  
Vol 27 (5) ◽  
pp. 2409-2416 ◽  
Author(s):  
Dengfeng Liu ◽  
Dong Wang ◽  
Jichun Wu ◽  
Yuankun Wang ◽  
Lachun Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Cloud Model ◽  
Assessment Method ◽  
Urban Water ◽  
Risk Assessment Method ◽  
Water Hazard ◽  
Artificial Neural

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.

Risk Assessment Method and Application of Embankment Engineering Based on Cloud Model

2019 ◽  
Vol 93 (sp1) ◽  
pp. 310
Author(s):  
Xianfeng Huang ◽  
Zitong Yang ◽  
Yingqin Chen ◽  
Guohua Fang ◽  
Hongwei Yang
Keyword(s):  
Risk Assessment ◽  
Cloud Model ◽  
Assessment Method ◽  
Risk Assessment Method

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.

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