Study on a Quantitative Risk Assessment Method of Primary Equipments Based on Power Grid Safety Analysis

2014 ◽  
Vol 541-542 ◽  
pp. 863-868
Author(s):  
Kun Ling Deng ◽  
Dan Dan Li ◽  
Ying Wang ◽  
Xiao Lei Cheng ◽  
Ming Li ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Power Grid ◽  
Operation Mode ◽  
Safety Analysis ◽  
Assessment Method ◽  
Assessment Model ◽  
Quantitative Risk Assessment ◽  
Normal Operation ◽  
Risk Assessment Model ◽  
Risk Assessment Method

A quantitative risk assessment method of primary equipments based on power grid safety analysis is presented in this paper, and the risk assessment model of power grid primary equipments is established. On the basis of the calculated losses caused by various faults of N-1 and N-2 under the normal operation mode and the equipment maintenance mode, whether an equipment needs to be maintained is determined by comparing the size of the possible losses in two operation modes of a power grid. Then, the purpose of guiding the condition based maintenance of the power grid primary equipments is achieved. Finally, the presented risk assessment model of power grid primary equipments is applied to a certain practical power system.

A semi-quantitative risk assessment model for the outbreak of grass carp hemorrhage

2013 ◽  
Vol 19 (3) ◽  
pp. 521-527 ◽  
Author(s):  
Song YANG ◽  
Shuqin WU ◽  
Ningqiu LI ◽  
Cunbin SHI ◽  
Guocheng DENG ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Grass Carp ◽  
Assessment Model ◽  
Quantitative Risk Assessment ◽  
Risk Assessment Model

An intelligent quantitative risk assessment method for ammonia synthesis process

2021 ◽  
Vol 420 ◽  
pp. 129893
Author(s):  
Zijian Liu ◽  
Wende Tian ◽  
Zhe Cui ◽  
Honglong Wei ◽  
Chuankun Li
Keyword(s):  
Risk Assessment ◽  
Ammonia Synthesis ◽  
Assessment Method ◽  
Quantitative Risk Assessment ◽  
Synthesis Process ◽  
Risk Assessment Method

scholarly journals A quantitative risk assessment for the occurrence of campylobacter in chickens at the point of slaughter

2001 ◽  
Vol 127 (2) ◽  
pp. 195-206 ◽  
Author(s):  
E. HARTNETT ◽  
L. KELLY ◽  
D. NEWELL ◽  
M. WOOLDRIDGE ◽  
G. GETTINBY
Keyword(s):  
Risk Assessment ◽  
Meat Products ◽  
Human Infection ◽  
Chicken Meat ◽  
Assessment Model ◽  
Quantitative Risk Assessment ◽  
Risk Assessment Model ◽  
Poultry Flock

A quantitative risk assessment model investigating the risk of human infection with campylobacter from the consumption of chicken meat/products is currently being formulated. Here such an approach is used to evaluate the probability that a random bird, selected at slaughter from Great Britain's national poultry flock, will be campylobacter-positive. This is determined from the probability that a flock chosen at random contains at least one colonized bird and the within-flock prevalence of such a flock at slaughter. The model indicates that the probability bird chosen at random being campylobacter-positive at slaughter is 0·53. This probability value has associated uncertainty, the 5th percentile being 0·51 and the 95th percentile 0·55. The model predicts that delaying the age at first exposure to campylobacter can have a significant impact on reducing the probability of a bird being campylobacter-positive at slaughter. However, implementation of current biosecurity methods makes this difficult to achieve.

Research on Risk Assessment Method and System Development of Small Ammonia Refrigeration Units

2019 ◽  
Author(s):  
Xiang Li ◽  
Weihua Wang ◽  
Weike Jing ◽  
Jin Shi ◽  
Fakun Zhuang
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
System Development ◽  
Correction Method ◽  
Assessment Method ◽  
Scientific Basis ◽  
Assessment System ◽  
Assessment Model ◽  
Mitigation Measures ◽  
Risk Assessment Method

Abstract In recent years, ammonia leakage accidents occur frequently, which causes a great concern in China. Based on traditional risk analysis methods and the equipment characteristics, a risk evaluation method for small ammonia refrigeration units is proposed. The method includes a risk assessment model based on area division, a failure probability assessment method based on expert scoring system, a failure consequence assessment method based on regional population density and consequence mitigation measures, and a HAZOP risk correction method. Based on the proposed method, a risk assessment system of small ammonia refrigeration units is developed. This risk assessment method and system will provide a scientific basis to carry out the cold storage management in China.

scholarly journals A Dynamic Risk Assessment Method for Deep-Buried Tunnels Based on a Bayesian Network

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Yan Wang ◽  
Jie Su ◽  
Sulei Zhang ◽  
Siyao Guo ◽  
Peng Zhang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Bayesian Network ◽  
Influencing Factors ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Dynamic Risk ◽  
Risk Rating ◽  
Risk Assessment Method ◽  
Dynamic Risk Assessment

In view of the shortcomings in the risk assessment of deep-buried tunnels, a dynamic risk assessment method based on a Bayesian network is proposed. According to case statistics, a total of 12 specific risk rating factors are obtained and divided into three types: objective factors, subjective factors, and monitoring factors. The grading criteria of the risk rating factors are determined, and a dynamic risk rating system is established. A Bayesian network based on this system is constructed by expert knowledge and historical data. The nodes in the Bayesian network are in one-to-one correspondence with the three types of influencing factors, and the probability distribution is determined. Posterior probabilistic and sensitivity analyses are carried out, and the results show that the main influencing factors obtained by the two methods are basically the same. The constructed dynamic risk assessment model is most affected by the objective factor rating and monitoring factor rating, followed by the subjective factor rating. The dynamic risk rating is mainly affected by the surrounding rock level among the objective factors, construction management among the subjective factors, and arch crown convergence and side wall displacement among the monitoring factors. The dynamic risk assessment method based on the Bayesian network is applied to the No. 3 inclined shaft of the Humaling tunnel. According to the adjustment of the monitoring data and geological conditions, the dynamic risk rating probability of level I greatly decreased from 81.7% to 33.8%, the probability of level II significantly increased from 12.3% to 34.0%, and the probability of level III increased from 5.95% to 32.2%, which indicates that the risk level has risen sharply. The results show that this method can effectively predict the risk level during tunnel construction.

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