An Approach for Security Assessment of Transmission Grid Concerning the Influence of Indices Balance

2011 ◽  
Vol 467-469 ◽  
pp. 1175-1181
Author(s):  
An Jia Mao ◽  
Jin He
Keyword(s):  
Power System ◽  
Comprehensive Evaluation ◽  
Level Structure ◽  
Evaluation Process ◽  
Assessment Method ◽  
Comprehensive Assessment ◽  
Assessment Model ◽  
Security Level ◽  
Security Assessment ◽  
Transmission Grid

Modern power system has been gradually developed into a complex system with the features of multi-level structure, multi-time scale, a variety of control parameters, wide-area, open, uncertainties, non-autonomous and it is difficult to indicate the security level of power system by a single index. Therefore, power system security assessment based on theory of comprehensive assessment is developed rapidly in recent years. However, traditional comprehensive assessment method considers few about the balance of the indices, when there are great differences between the value of the indices, it is easy to take place the phenomenon that the small indices has been “submerged”, which will influence the rationality of the comprehensive evaluation result. In this paper, a comprehensive assessment model which considers the influence of the index balance is established. By introducing the balance coefficient, the model can amend the original judgment matrix and the weight obtained by traditional AHP method. Since the coordinated and balanced situation of the indices have been reflected in the evaluation process, the results of the assessment model proposed in this paper has more scientific nature and more credibility. Finally, an example is provided to validate the model in this paper.

scholarly journals Durability Assessment of Lightweight Cellular Concrete in Subgrade by the Method of Analytic Hierarchy Process Combined with Fuzzy Comprehensive Evaluation

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xin Liu ◽  
Chengwei Ni ◽  
Liye Zhang ◽  
Ke Sheng ◽  
Baoning Hong
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Durability Assessment ◽  
Hierarchy Process ◽  
Cellular Concrete

The durability of lightweight cellular concrete (LCC) and the corresponding assessment method are studied in this paper to improve the utilization of LCC in subgrade construction engineering. The durability assessment method is established by combining the analytic hierarchy process (AHP) with fuzzy comprehensive evaluation (FCE). The main assessment processes are as follows. Firstly, based on the physical and mechanical properties of LCC, the influencing factors are selected in terms of preliminary design, construction technology, and operation and management after completion of construction. The grading standard of influencing factors is established as well. Secondly, a multilevel assessment model with targets level, criteria level, and indexes level is established. AHP determines the effective weight of the lower level relative to the upper level. The consistency check of the judgment matrix is conducted to prove the rationality of the distribution of influencing factors’ effect weight. Thirdly, the membership function which is suitable for each influencing factor is built to calculate the membership degree. Besides, the practicality and reliability of AHP combined with FCE are demonstrated through a practical engineering case, which is the third section of a highway in Guangdong Province, China.

Comprehensive Assessment Method for Pile Construction Quality Based on Analytic Hierarchy Process

2013 ◽  
Vol 838-841 ◽  
pp. 245-249
Author(s):  
Yong Chun Cheng ◽  
Hong Bin Guo ◽  
Xian Qiang Wang ◽  
Yu Bo Jiao
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Assessment ◽  
Evaluation Method ◽  
Assessment Method ◽  
Comprehensive Assessment ◽  
Assessment Model ◽  
Geological Condition ◽  
Construction Quality ◽  
Analytic Hierarchy ◽  
Hierarchy Process

In this paper, a new comprehensive assessment method of pile construction quality based on analytic hierarchy process is proposed considering that the current specification is uncertain about quality assessment. This method establishes the comprehensive assessment index system of pile construction quality taking account of the influence of the pile velocity, pile length, geological condition, bridge importance level, pile defects and other parameters on pile construction quality assessment. It constructs pile construction quality assessment model through determining the weight of each index based on analytic hierarchy process to improve the evaluation method of pile construction quality. The good results achieved in practical engineering demonstrate that the proposed method possesses favorable accuracy.

A Comprehensive Analysis Method Based on Fuzzy Hierarchy for the Safety Assessment of Overhead Traveling Crane

2010 ◽  
Vol 20-23 ◽  
pp. 196-201
Author(s):  
Ge Ning Xu ◽  
Fan Jiang
Keyword(s):  
Safety Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Safety Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Set Up ◽  
Hierarchy Process

By combined fuzzy comprehensive evaluation with AHP (Analytic Hierarchy Process) together, a safety assessment model for overhead traveling crane is set up in regard to deficiency of safety assessment method for crane at present, which can evaluate safety of overhead traveling crane in-service qualitatively and quantitatively. Through a safety analysis and assessment on general overhead traveling crane, the result of assessment is in accord with the practical situation of overhead traveling crane. It can reflect more fully the safety of the whole crane system and the influence and level of each factor to whole crane system safety, witch an effective synthetic evaluation method is put forward for the safety evaluation of crane.

scholarly journals Power system transient stability assessment based on rough set and deep residual neural network

2021 ◽  
Vol 2121 (1) ◽  
pp. 012012
Author(s):  
Jian Chai ◽  
Xihuai Wang ◽  
Jianmei Xiao
Keyword(s):  
Neural Network ◽  
Power System ◽  
Rough Set ◽  
Transient Stability ◽  
Rough Set Theory ◽  
Assessment Method ◽  
Machine Learning Algorithms ◽  
Assessment Model ◽  
Stability Assessment ◽  
Combined Application

Abstract Machine learning algorithms have been widely used in power system transient stability evaluation. The combined application of data analysis and evaluation and neural network provides a new direction for power system transient stability analysis. After the actual power grid is running, there is obviously an imbalance between stable samples and unstable samples. The current deep learning network realizes the power system transient stability assessment method with too many redundant attributes, and the characteristics will inevitably be lost during the data transmission process. This leads to serious problems with the tendency of the training of the data-driven transient stability assessment model. The rough set theory algorithm is introduced to reduce the redundant attributes of power system transient data sets, which simplifies the difficulty of data training. At the same time, as the neural network deepens, the deep residual neural network model has a higher accuracy rate and effectively avoids the “gradient explosion” and “gradient dispersion” problems. Compared with the traditional neural network, it has better Evaluate performance.

scholarly journals INFORMATION SECURITY ASSESSMENT BASED ON MACHINE LEARNING TECHNOLOGY-FUZZY-GRA-AHP

2019 ◽  
Vol 7 (6) ◽  
pp. 230-240
Author(s):  
Mei-Er Zhuang ◽  
Wen-Tsao Pan
Keyword(s):  
Machine Learning ◽  
Information Security ◽  
Assessment Model ◽  
Security Level ◽  
Learning Technology ◽  
Security Assessment ◽  
Security Risks ◽  
Gray Relation Analysis ◽  
Fuzzy Gra ◽  
Fuzzy Computing

With the advent of the information age, information security has become an urgent problem to be solved. Various application and platforms have not only brought convenience to people, but also brought hidden dangers - information security risks. This paper uses some of the machine learning technology - fuzzy computing and gray relation analysis (GRA), to analyze data of the three major video platforms of China, and takes the information security level as a new criterion to conduct the evaluation of their performance. An assessment model is constructed based on machine learning technology, namely the combination of fuzzy computing and GRA and analytic hierarchy process (AHP). Conclusions can be drawn as follows. First, consumers’ perception of video platform information security level is constantly being strengthened. Second, information security risks are affecting consumers' choice decisions about video platforms, and the weights will continue to increase. Third, video platforms are paying more attention to information security construction.

Risk Assessment of Reservoir by Fuzzy Comprehensive Evaluation Method Based on Information Entropy

2013 ◽  
Vol 438-439 ◽  
pp. 1612-1618
Author(s):  
Yong Jia Song ◽  
Cong Cong Jin ◽  
Xian Cai Zhang ◽  
Jing Li
Keyword(s):  
Risk Assessment ◽  
Information Entropy ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Entropy Weight ◽  
Weighting Method

This paper proposes a new risk assessment model on account of the fuzziness and uncertainty of risk factors in the reservoir after earthquake. The paper adopts methods of information entropy and fuzzy mathematics to assess risk level of the model. After analyzing the statistical data of earthquake-damaged reservoirs, we present comprehensive weight composed of importance and improved entropy weight. Base on comprehensive weight, we can adopt membership function to establish single factor evaluation of the model. Moreover, we combine fuzzy weighting method to assess risk level of a reservoir after earthquake. The result shows that risk level of the reservoir is high-risk. The case study verifies the practicability and rationality of the risk assessment method. Therefore, the method could be applied in the emergency rescue and reinforcement for reservoir after earthquake.

A Bayesian Assessment Method of Network Risk

2014 ◽  
Vol 513-517 ◽  
pp. 1684-1687
Author(s):  
Ji Wen Huang ◽  
Zhi Long Deng
Keyword(s):  
Information Security ◽  
Bayesian Network ◽  
Network Inference ◽  
System Analysis ◽  
Expert Knowledge ◽  
Evaluation Process ◽  
Assessment Method ◽  
Security Assessment ◽  
Security Risk ◽  
Information Security Risk

Based on system analysis of information security risk factors and evaluation process, aiming at the uncertainty information is difficult to quantify the evaluation process, Bayesian network inference algorithm, and combined with the inference rules of conditional probability matrix is given by expert knowledge of Bayesian network, the evaluation model of information security risk. Finally an instance of the risk assessment approach on the model is analyzed which demonstrates the rationality and feasibility of this method. So it provides a new method for information security assessment.

Extension Comprehensive Assessment of the Operating State of Turbo-Generator

2014 ◽  
Vol 1070-1072 ◽  
pp. 1196-1201
Author(s):  
Ming Dong Wang ◽  
Zhong Hui Xu
Keyword(s):  
Power System ◽  
Assessment Method ◽  
State Assessment ◽  
Assessment System ◽  
Assessment Model ◽  
System Operation ◽  
Power System Operation ◽  
Turbo Generator ◽  
Important Means ◽  
Traditional Pattern

The assessment of operating state of the generator is an important means to guide the generator overhaul and improve the reliability of power system operation. The traditional pattern is gradually replaced by the real time state assessment model, this paper which is based on the multilevel nature and multivariate of the generator information establishes the state assessment system of the generator and uses extension level assessment method to assess the comprehensive state of the generator. Examples show that the method has a strong rationality and effectiveness.

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