scholarly journals Analysis of Failures and Influence Factors of Critical Infrastructures: A Case of Metro

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yongliang Deng ◽  
Liangliang Song ◽  
Jianliang Zhou ◽  
Na Xu ◽  
Guodong Ni ◽  
...  
Keyword(s):  
Failure Modes ◽  
Influence Factor ◽  
Safety Management ◽  
Influence Factors ◽  
Analytical Framework ◽  
Equipment Failure ◽  
Safety Level ◽  
Research Findings ◽  
Analysis Of Failures ◽  
Safety Operation

Metro plays an indispensable role in promoting social and economic development of the big cities. However, the safety operation of the metro system is believed to be an arduous work for its operation being susceptible to various factors, especially equipment failure, which could bring about delay, interruption, and even accidents. In consideration of the seriousness of metro accident, it is becoming more and more crucial to conduct proactive, targeted, and effective risk management to reduce failures. Firstly, based on the FMECA and influence diagram theory, this paper proposes a new analytical framework to study metro equipment failure in accordance with system decomposition. Furthermore, a case study is implemented to verify the feasibility and availability of this framework in evaluating criticality of failure modes and assessing its influence factors based on the collected data from metro operation company. As indicated by the research results, wheel damage is the most serious failure mode in the bogie system, and its most paramount influence factor is the shortage of professional skills. Finally, a discussion about the research methods and results is carried out, and several recommendations are put forward to improve safety management on the basis of research findings. This study has the potential to offer suggestions in regard to metro equipment design, operation, and maintenance for raising the safety level in metro operation.

An introduction to the industrial town’s safety management (ITSM) system

Work ◽  
2021 ◽  
pp. 1-10
Author(s):  
Hossein Ebrahimi ◽  
Seyedeh Melika Kharghani Moghadam
Keyword(s):  
Management System ◽  
Delphi Technique ◽  
Safety Management ◽  
Safety Information ◽  
Safety Training ◽  
Safety Level ◽  
Cross Sectional ◽  
Safety Management System ◽  
Industrial Town ◽  
System Objective

BACKGROUND: In industrial towns, the dangers of each industry also poses a threat to other industries due to the proximity of different industries to each other. So there is a need for a safety management system. OBJECTIVE: This study was conducted to introduce a management system for managing the safety of industrial towns. METHODOLOGY: This cross-sectional and qualitative study was conducted in three main phases: (1) Identify the elements of the safety management systems using literature review, (2) Screening and determining useful elements using Delphi technique and (3) Determining the structure of safety management system. RESULTS: Participation of the industries and their compliance with the standards were considered as the system foundation. The networks of safety information of the industries, accident’s database, safety training, contractors, emergency management and management of the changes were placed on the foundation as the system columns. The Industrial Town’s Safety Management (ITSM) system as the system roof was placed on the columns. This structure was placed within a two-line framework including the trade secrets and program audit. CONCLUSIONS: The ITSM system consists of a set of factors that can help manage the safety of the industrial towns. This system will increase the safety level of industrial towns by incorporating some safety principles. However, the safety management of an industrial town is very complex and requires a great deal of efforts.

Research on Optimal Index Set Based on Consequence-Reverse-Diffusion Method of Yellow River Downstream Embankment

2014 ◽  
Vol 955-959 ◽  
pp. 3020-3025
Author(s):  
Feng Feng ◽  
Hong Tao Jia ◽  
Xiao Ming Rong
Keyword(s):  
Index System ◽  
Influence Factor ◽  
Yellow River ◽  
Influence Factors ◽  
Safety Evaluation ◽  
Diffusion Method ◽  
The Yellow River ◽  
Index Set ◽  
Main Factors ◽  
River Embankment

Constructing a scientific, reasonable, all-encompassing, and representative-strong index system is an important premise and guarantee for the good embankment-safety-evaluation of Yellow River. Therefore, the embankment safety-influencing-factor identification has been raised based on consequence-reverse-diffusion method, which can be used to seek the main factors leading to accidents by reverse-thinking and reverse-diffusion way. The main factors which lead to the embankment accident shall be found out according to the accident form, then spreading to the specific influence-factor. As a result, the author has made a classification and extraction for the identified safety-influence-factors, and constructed the optional index-set and index-system for the Yellow River embankment-safety-evaluation after analyzing the content of the safety-influence-factors, which has laid a solid foundation for further embankment safety assessment for the Yellow River embankment construction.

Interactive shear resistance of corrugated web in steel beam exposed to fire

2016 ◽  
Vol 7 (1) ◽  
pp. 69-78
Author(s):  
Mariusz Marcin Maslak ◽  
Marcin Lukacz
Keyword(s):  
Failure Modes ◽  
Steel Beams ◽  
Steel Beam ◽  
Safety Level ◽  
Design Algorithm ◽  
Content Type ◽  
Corrugated Webs ◽  
Buckling Resistance ◽  
Corrugated Web ◽  
Shear Buckling

Purpose The purpose of this paper is to present and discuss in detail the design approach to shear buckling resistance evaluation for corrugated web being a part of a steel beam exposed to fire. Design/methodology/approach It is based on the interaction between the local and global elastic instability failure modes as well as on the possible yielding of the whole web cross-section during fire. Findings New formulae, adequate for specification of the suitable shear buckling coefficients, depend not only on the web slenderness but also on the temperature of structural steel. Originality/value The methodology proposed by the authors can be added to the current European standard recommendations given in EN 1993-1-2 as a well-justified design algorithm helpful in reliable evaluation of a safety level for steel beams with slender corrugated webs subject to fire exposure. It seems to be highly desirable because, at present, there are no detailed instructions in this field.

Unsupervised spatial data mining for the development of future scenarios: a Covid-19 application

2021 ◽  
pp. 173-178
Author(s):  
Yuri Calleo ◽  
Simone Di Zio
Keyword(s):  
Data Mining ◽  
Spatial Data ◽  
Latent Dirichlet Allocation ◽  
Spatial Information ◽  
Influence Factor ◽  
Influence Factors ◽  
Spatial Data Mining ◽  
Key Factors ◽  
Scenario Development ◽  
Data Mining Technique

In the context of Futures Studies, the scenario development process permits to make assumptions on what the futures can be in order to support better today decisions. In the initial stages of the scenario building (Framing and Scanning phases), the process requires much time and efforts to scanning data and information (reading of documents, literature review and consultation of experts) to understand more about the object of the foresight study. The daily use of social networks causes an exponential increase of data and for this reason here we deal with the problem of speeding up and optimizing the Scanning phase by applying a new combined method based on the analysis of tweets with the use of unsupervised classification models, text-mining and spatial data mining techniques. For the purpose of having a qualitative overview, we applied the bag-of-words model and a Sentiment Analysis with the Afinn and Vader algorithms. Then, in order to extrapolate the influence factors, and the relevant key factors (Kayser and Blind, 2017; 2020) the Latent Dirichlet Allocation (LDA) was used (Tong and Zhang, 2016). Furthermore, to acquire also spatial information we used spatial data mining technique to extract georeferenced data from which it was possible to analyse and obtain a geographic analysis of the data. To showcase our method, we provide an example using Covid-19 tweets (Uhl and Schiebel, 2017), upon which 5 topics and 6 key factors have been extracted. In the last instance, for each influence factor, a cartogram was created through the relative frequencies in order to have a spatial distribution of the users discussing each particular topic. The results fully answer the research objectives and the model used could be a new approach that can offer benefits in the scenario developments process.

scholarly journals Decision-Making of Port Enterprise Safety Investment Based on System Dynamics

Processes ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1235
Author(s):  
Jiachen Sun ◽  
Haiyan Wang ◽  
Jie Chen
Keyword(s):  
Decision Making ◽  
System Dynamics ◽  
Safety Management ◽  
Investment Strategy ◽  
Risk Level ◽  
Time Data ◽  
Safety Level ◽  
Factors Affecting ◽  
Port Operation ◽  
Safety Investment

Safety is the premise of efficiency and effectiveness in the port operation. Safety investment is becoming a vital part of port operation in current era in order to overcome different types of hazards the port operation exposed to. This paper aims to improve the safety level of port operation through analyzing its influencing factors and exploring the interactions between the safety investment and system risk level. By analyzing the key factors affecting the port operation and their mutual relationship within a man–machine–environment–management system, a decision-making model of safety investment in port enterprise was established by system dynamics (SD). An illustration example and a sensitivity analysis were carried out to justify and validate the proposed model. The results show that increasing the total safety investment of port enterprises, improving the safety management investment on personnel, and strengthening the implementation effect of investment can improve the degree of port security to a certain extent. The strength of the proposed work is its practical application in current scenarios using real time data and the ability to provide a baseline approach for port enterprises to formulate safety investment strategy.

scholarly journals Design and Application of a Case Analysis System for Handling Power Grid Operational Accidents Based on Case-Based Reasoning

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 91
Author(s):  
Xiaopeng Yu ◽  
Changqing Xu ◽  
Dan Lu ◽  
Zeyu Zhu ◽  
Zhipeng Zhou ◽  
...  
Keyword(s):  
Safety Management ◽  
Power Grid ◽  
Power Grids ◽  
Case Based Reasoning ◽  
Matching Process ◽  
Grid Database ◽  
Analysis System ◽  
Safety Operation ◽  
Accident Case ◽  
Case Based

In recent years, power grid accidents have occurred frequently and higher requirements have been placed on their safety operation. In current safety management in the world, there is an effective practice that uses a unified standard for structuring an accident case database and based on that database, conducts quantitative analysis to cope with accident risks. However, that is not the case for power safety management. Case-based reasoning (CBR) is such a process that solves new problems based on the solutions to similar past problems. It works by matching a current problem with historical cases and solutions in a database, in order to obtain similar case solutions or inspirations. In the matching process, if necessary, such past solutions may be modified in order to better adapt to the current actual problems. Based on the CBR method, this paper proposes how to construct a case database of power grid operational accidents, provide data support for management of power grid risks and provide knowledge services for accurate grasping of grid accident development dynamics and making quick decisions to rapidly response to the emergencies. First, it designs an operational accident case database after considering the following three aspects: case features, power grid features and accident features based on safety management theory. Secondly, in terms of how to use the power grid operational accident case database, it proposed a two-level search strategy, as well as the corresponding similarity calculation methods for different feature attributes of the case. Finally, it carried out a demonstration to verify the model by selecting four typical grid accidents. The grid database and CBR strategy proposed in this article could help China’s power grids practice intelligent analysis of grid operational accidents and improve digitalization in safety management.

Understanding the Nuances of Employees’ Safety to Improve Job Satisfaction of Employees in Manufacturing Sector

2019 ◽  
Vol 21 (2) ◽  
pp. 326-336
Author(s):  
Meha Joshi
Keyword(s):  
Job Satisfaction ◽  
Safety Factor ◽  
Safety Management ◽  
Manufacturing Sector ◽  
Linear Regression Analysis ◽  
Positive Influence ◽  
Satisfaction Level ◽  
Contributing Factors ◽  
Safety Level ◽  
Safety Perception

Safety of employees is one of the important concerns of the manufacturing organizations and needs to be addressed carefully. It was once, not in ambit of focus but the realization of making safety management as an integral part of the organization is gaining pace. The research article attempts to study the influence of safety perception of the employees on their job satisfaction level in selected small and medium manufacturing enterprises of Uttarakhand in India. A self-developed 29 items scale was used to determine the safety level of employees and job satisfaction inventory by Paul and Spector was used for assessing the job satisfaction level of employees. Linear regression analysis was used to find the degree of influence of safety on job satisfaction level of employees. Stepwise multiple regressions were used to identify the safety factor which contributes the most for employee’s job satisfaction. The research highlights positive influence of safety perception of employees on their job satisfaction level and draws attention towards safety as predictor of job satisfaction. Training and supervision and work procedures were identified as the most contributing factors to enhance job satisfaction of the employees. This study could be helpful for organizations to identify most contributing safety factor which lead to improving the level of job satisfaction among employees.

scholarly journals Dynamic Safety Management on the Key Equipment of Coal Gasification Based on Dbt-Dbn Method

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Han Gao ◽  
Yili Duo ◽  
Tie Sun ◽  
Xuefeng Yang
Keyword(s):  
Risk Assessment ◽  
Coal Gasification ◽  
Failure Modes ◽  
Safety Management ◽  
Dynamic Bayesian Network ◽  
Dynamic Correlation ◽  
Dynamic Risk ◽  
Failure Data ◽  
Dynamic Risk Assessment ◽  
Bow Tie

Gasifier system is one of the important components of coal gasification device. The technical characteristics of this system mainly lie in the following facts as huge technical scale and high complexity, and there is a dynamic correlation between the failure modes of gasification equipment. Traditional safety analysis methods such as fault tree and bow-tie diagram suffer from drawbacks as being static and ineffective in handling uncertainty, which hamper their application to risk analysis of process systems. This paper presents a newly developed model based on Dynamic Bow-Tie (DBT) and Dynamic Bayesian network (DBN) for quantitative dynamic risk assessment of gasifier system. In the meantime, in order to cope with the uncertainty of the failure data, fuzzy numbers and the defuzzification method are used to transform the experts' language into the failure rates. The results showed that dynamic risk assessment can solve the difficulties dealing with complex dynamic systems which have process variables and characteristics such as multiple, failure correlations, and noncoherence. And it also has important theoretical significance and application value for coal chemical industry to improve the scientificity of risk assessment.

scholarly journals Weight Analysis of Influence Factors and Potential Evaluation Method for Chemical Combination Flooding

2018 ◽  
Vol 53 ◽  
pp. 01022
Author(s):  
LIU Zhaoxia ◽  
WANG Qiang ◽  
MA Desheng ◽  
Gaoming ◽  
LIU Wanlu
Keyword(s):  
Evaluation Method ◽  
Influence Factor ◽  
Comprehensive Evaluation ◽  
Influence Factors ◽  
Prediction Method ◽  
Weight Coefficient ◽  
New Method ◽  
Chemical Flooding ◽  
Evaluation Score ◽  
Chemical Combination

In this paper, the weight coefficient of influencing factors for chemical combination flooding is determined by using grey correlation theory. A calculation method for comprehensive evaluation score of chemical combination flooding is established. The influence factor grading and weight grading are combined in this method. By collecting and analysing chemical combination flooding field tests, a prediction method for chemical combination flooding is established by the exponential regression. It reflects the relationship between EOR of the chemical combination flooding and the comprehensive evaluation score. The new method is applied in 6 different reservoirs to evaluate the effect of chemical flooding. The new method determines the weight coefficient of influence factors for chemical combination flooding. It can quickly predict EOR factor of chemical flooding to provide a basis for chemical flooding planning in the field.

The Analysis of the Load Rate Influence Factors Based on the Grey Correlation

2014 ◽  
Vol 631-632 ◽  
pp. 94-98
Author(s):  
Xue jun Wang ◽  
Ji Xiang Zhang ◽  
Zhen Gao Zhang ◽  
Ming Zhi Liu
Keyword(s):  
Influence Factor ◽  
Rapid Development ◽  
Influence Factors ◽  
Key Factors ◽  
Grey Correlation ◽  
Power Characteristics ◽  
Load Rate ◽  
Grey Correlation Analysis ◽  
Influence Degree ◽  
The Relationship

With the rapid development of power industry, the load rate which describes the power characteristics is playing a more and more important role, this paper uses the grey correlation analysis to find the relationship between the load rate and the influence factors based on the historical data of the load rate influence factors and analyzes the weight of each influence factor quantitatively through the grey correlation coefficient so as to reflect the influence degree of different factors on load rate, meanwhile, through the analysis of various influencing factors of load rate, this paper hopes to clarify its effects on the load rate which includes strength, size and the order and help the power grid enterprise choose the key factors influencing the load rate which provide a basis for the future to improve the load rate.

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