scholarly journals Nonlinear crack assessment method in beams based on bispectrum-normal cloud model

2019 ◽  
Vol 28 ◽  
pp. 30-34
Author(s):  
M. S. Cao ◽  
L. Cui ◽  
E. Manoach ◽  
W. Xu ◽  
L. X. Pan
Keyword(s):  
Cloud Model ◽  
Assessment Method ◽  
Nonlinear Crack

scholarly journals Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health

2020 ◽  
Vol 17 (7) ◽  
pp. 2555 ◽  
Author(s):  
Qingwei Xu ◽  
Kaili Xu ◽  
Fang Zhou
Keyword(s):  
Safety Assessment ◽  
Cloud Model ◽  
Least Square Method ◽  
Assessment Method ◽  
Employee Health ◽  
Least Square ◽  
Entropy Weight ◽  
Safety Level ◽  
Cause And Effect ◽  
Assessment Approach

Safety assessment of a casting workshop will provide a clearer understanding of the important safety level required for a foundry. The main purpose of this study was to construct a composite safety assessment method to protect employee health using the cloud model and cause and effect–Layer of Protection Analysis (LOPA). In this study, the weights of evaluation indicators were determined using the subjective analytic hierarchy process and objective entropy weight method respectively. Then, to obtain the preference coefficient of the integrated weight more precisely, a new algorithm was proposed based on the least square method. Next, the safety level of the casting workshop was presented based on the qualitative and quantitative analysis of the cloud model, which realized the uncertainty conversion between qualitative concepts and their corresponding quantitative values, as well as taking the fuzziness and randomness into account; the validity of cloud model evaluation was validated by grey relational analysis. In addition, cause and effect was used to proactively identify factors that may lead to accidents. LOPA was used to correlate corresponding safety measures to the identified risk factors. 6 causes and 19 sub-causes that may contribute to accidents were identified, and 18 potential remedies, or independent protection layers (IPLs), were described as ways to protect employee health in foundry operations. A mechanical manufacturing business in Hunan, China was considered as a case study to demonstrate the applicability and benefits of the proposed safety assessment approach.

scholarly journals A Novel Method to Assess Safety of Buried Pressure Pipelines under Non-Random Process Seismic Excitation based on Cloud Model

2019 ◽  
Vol 9 (4) ◽  
pp. 812 ◽  
Author(s):  
Peng Zhang ◽  
Yihuan Wang ◽  
Guojin Qin
Keyword(s):  
Random Process ◽  
Earthquake Engineering ◽  
Random Vibration ◽  
Cloud Model ◽  
Quantitative Description ◽  
Assessment Method ◽  
Small Sample ◽  
Seismic Excitation ◽  
Convex Model ◽  
Novel Method

It is necessary to conduct a safety assessment for pipelines which are regarded as important lifeline projects after an earthquake. Since the random process of loading in earthquake engineering requires a large amount of samples, this paper establishes a non-random vibration method based on convex model theory and applies it to small sample engineering. Moreover, a space–time analytical model of buried pipeline and a finite element model are established to solve the dynamic response of pipelines with non-random process seismic excitation. Furthermore, the randomness of the stress values of the pipeline subjected to earthquake and the fuzziness of the degree of damage to pipelines are considered. Therefore, a novel method for assessing damage to pipelines is proposed based on cloud model. The results indicate that an analysis of non-random vibration combined with the cloud inference method can solve the fuzziness and randomness of the quantitative description and qualitative concept conversion for damage evaluation of pipelines. The method is also an adaptive and effective assessment method for pipelines exposed to earthquake and is able to promote safety management of pipeline engineering.

scholarly journals Application of a Cloud Model-Set Pair Analysis in Efficacy Assessment for Diabetic Ulcers

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Le Kuai ◽  
Jia-qi Xing ◽  
Jing-ting Zhang ◽  
Xun-zhe Xu ◽  
Min-feng Wu ◽  
...  
Keyword(s):  
Cloud Model ◽  
Assessment Method ◽  
Set Pair Analysis ◽  
Connection Degree ◽  
Diabetic Ulcers ◽  
Efficacy Assessment ◽  
Model Set ◽  
Importance Assessment ◽  
Pair Analysis ◽  
Assessment Results

Because treatment of diabetic ulcers includes various uncertainties, efficacy assessments are needed and significant. In previous studies, set pair analysis (SPA) has been applied to the efficacy assessments of traditional Chinese medicine (TCM) that pick out uncertainties related to the development and prognosis of disease. Optimized clinical protocols of SPA improve clinical efficacy. In the article, cloud model (CM) is employed to improve SPA, and a novel efficacy assessment method for a treatment of diabetic ulcers is proposed based on the cloud model-set pair analysis (CM-SPA). It is recommended to replace connection degree (CD) with cloud connection degree (CCD) that the efficacy assessment results are shown as normal clouds. Then, three diabetic ulcers patients treated with TCM made importance assessment by both CM-SPA and AHP based SPA. The comparison of assessment results shows that the CM-SPA is efficacious for the efficacy assessment of a treatment for diabetic ulcers and the results will be more scientific and accurate via CM-SPA.

scholarly journals The Risk Assessment of Debris Flow Hazards in Banshanmen Gully Based on the Entropy Weight-Normal Cloud Method

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
X. B. Gu ◽  
S. T. Wu ◽  
X. J. Ji ◽  
Y. H. Zhu
Keyword(s):  
Risk Assessment ◽  
Debris Flow ◽  
Cloud Model ◽  
Risk Estimation ◽  
Assessment Method ◽  
Risk Level ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Index Weight

The debris flow is one of the geological hazards; its occurrence is complex, fuzzy, and random. And it is affected by many indices; a new multi-index assessment method is proposed to analyze the risk level of debris flow based on the entropy weight-normal cloud model in Banshanmen gully. The index weight is calculated by using the entropy weight method. Then, the certainty degree of each index belonging to the corresponding cloud is obtained by using the cloud model. The final risk level of debris flow is determined according to the synthetic certainty degree. The conclusions are drawn that the method is feasible and accurate rate of risk estimation for debris flow is very high, so a new method and thoughts for the risk assessment of debris flow can be provided in the future.

scholarly journals Research on Dynamic Assessment Method of Earthquake Scene Rescue Performance Based on AHP and Cloud Model

Mathematics ◽  
2022 ◽  
Vol 10 (2) ◽  
pp. 207
Author(s):  
Sining Huang ◽  
Yupeng Chen ◽  
Xusheng Feng ◽  
Tiantian Qiao ◽  
Dandan Yu ◽  
...  
Keyword(s):  
Cloud Model ◽  
Dynamic Assessment ◽  
Assessment Method ◽  
Initial Assessment ◽  
Advisory Group ◽  
Assessment Index ◽  
Analysis Process ◽  
Weighted Analysis ◽  
Assessment Index System ◽  
Assessment Results

In view of the ambiguity and randomness of the assessment of earthquake scene rescue performance, this paper proposes an integrated assessment method considering quantitative and qualitative influencing factors from three levels: search, rescue and medical treatment. Firstly, this study constructs an assessment index system of rescue performance at the earthquake scene based on the International Search and Rescue Advisory Group (INSARAG) guidelines set by International Search and Response. Secondly, the subjective weights and objective weights of each index were calculated using the hierarchical analysis process (AHP) and cloud model, respectively. The comprehensive weights were calculated using weighted analysis, and the performance assessment results were visually expressed by cloud model images. Finally, the study was applied to an earthquake rescue case with an initial assessment of 4.0065, and its performance was improved by 4.36% when the rescue process was optimized. The assessment results show that earthquake rescue performance can be estimated, and the rationality and effectiveness of the method was validated.

scholarly journals Research into Power Transformer Health Assessment Technology Based on Uncertainty of Information and Deep Architecture Design

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shuguo Gao ◽  
Jun Zhao ◽  
Yunpeng Liu ◽  
Ziqiang Xu ◽  
Zhe Li ◽  
...  
Keyword(s):  
Power Transformer ◽  
Cloud Model ◽  
Health Assessment ◽  
Assessment Method ◽  
Actual Case ◽  
Defect Type ◽  
Defect Location ◽  
Deep Architecture ◽  
High Conflict

The uncertainty of the evaluation information is likely to affect the accuracy of the evaluation, when conducting a health evaluation of a power transformer. A multilevel health assessment method for power transformers is proposed in view of the three aspects of indicator criterion uncertainty, weight uncertainty, and fusion uncertainty. Firstly, indicator selection is conducted through the transformer guidelines and engineering experience to establish a multilevel model of transformers that can reflect the defect type and defect location. Then, a Gaussian cloud model is used to solve the uncertainty of the indicator criterion boundary. Based on association rules, AHP, and variable weights, the processed weights are calculated from the update module to obtain comprehensive weights, which overcomes the uncertainty of the weights. Improved DSmT theory is used for multiple evidence fusion to solve the high conflict and uncertainty problems in the fusion process. Finally, through actual case analysis, the defect type, defect location, and overall state of the transformer of the device are obtained. By comparing with many defect cases in a case-study library, the evaluation accuracy rate is found to reach 96.21%, which verifies the practicability and efficiency of the method.

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
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