scholarly journals Real-time Reliability Evaluation Based on Stochastic Degradation Process and Sequential Joint Distribution Estimation

2020 ◽  
Vol 316 ◽  
pp. 02002
Author(s):  
Qing Zhen Gao ◽  
Li Hu Teng ◽  
Zhuo Jiang ◽  
Hua Zhang
Keyword(s):  
Real Time ◽  
Joint Distribution ◽  
Evaluation Method ◽  
Reliability Assessment ◽  
Reference Value ◽  
Degradation Process ◽  
Reliability Evaluation ◽  
Current Time ◽  
Distribution Estimation ◽  
Detection Interval

According to the different performance degradation paths, reliability curves and parameters of each product in service phase, the reliability and remaining life of components at current moment can be evaluated in real-time reliability assessment by integrating real-time status, historical information and service time of components. The realtime reliability evaluation is valued because it is more personalized, precise, real-time and lean than traditional methods. Furthermore, the results from real-time reliability assessment can also represent the health status of component at current time. In the current research, real-time reliability assessment mainly relies on regression analysis and time series analysis, but these two methods are mainly used to describe the component degradation process, and cannot reflect the influence of external random environment on the component state change. At the same time, due to these limitations of time, economy and test conditions, it is also worth studying how to obtain more accurate and practical reliability distribution and determine a detection interval under the condition of less data. Therefore, based on the analysis of real-time reliability evaluation principle, a more appropriate real-time reliability evaluation method and the detection interval decision model are proposed by means of random degradation process, parameter sequence test joint distribution estimation and failure risk. The result from this method is a quantized value, which is convenient for the direct application of the follow-up maintenance decision research. Therefore, the research in this paper has extensive reference value and practical application prospect.

Real-time reliability evaluation of two-phase Wiener degradation process

2016 ◽  
Vol 46 (1) ◽  
pp. 176-188 ◽  
Author(s):  
Wei-an Yan ◽  
Bao-wei Song ◽  
Gui-lin Duan ◽  
Yi-min Shi
Keyword(s):  
Real Time ◽  
Degradation Process ◽  
Reliability Evaluation ◽  
Two Phase

The Reliability Evaluation Method for Success or Failure Product

2013 ◽  
Vol 710 ◽  
pp. 298-301
Author(s):  
Hai Bo Liu ◽  
Jin Huang Wu ◽  
Yi Dong Wang ◽  
Jun Wei Lei
Keyword(s):  
Evaluation Method ◽  
Reliability Assessment ◽  
Estimation Method ◽  
Reliability Evaluation ◽  
Assessment Method ◽  
Assessment Methods ◽  
Reliability Test ◽  
Confidence Estimation ◽  
Test Assessment

It is illustrated that establishing the reliability assessment method for Success or Failure product is important, and make an analysis and comparison on reliability test assessment methods for the existing four Success or Failure products. Furthermore, a new kind of reliability assessment method and confidence estimation method is proposed in this paper, which is indicated as a rational and applicable method.

Research on the Reliability Evaluation Method for DC Grid

2013 ◽  
Vol 732-733 ◽  
pp. 762-766 ◽  
Author(s):  
Hong Yang Dai ◽  
Ya Lou Li ◽  
Jian Hong Hao ◽  
Mu Yi Li
Keyword(s):  
Power Flow ◽  
Large Scale ◽  
Evaluation Method ◽  
Reliability Assessment ◽  
Fault Tree Analysis ◽  
Reliability Evaluation ◽  
Transmission System ◽  
Frame Structure ◽  
Combination Method ◽  
Model Combination

The reliability indexes and evaluation methods of AC transmission system and high voltage direct current (HVDC) transmission system were introduced. According to the characteristics of the DC grid, whether the above methods could be applied to DC grid reliability evaluation was analyzed, and the reasons and applications were also presented. The results show that state enumeration method, Monte Carlo method, and hybrid method can be applied to the large scale DC grid reliability assessment, based on either the grid frame structure or the power flow calculation; and the FD (frequency and duration)-FTA (fault tree analysis) method and FD-model combination method are more suitable for simple DC grid reliability assessment based on grid frame structure.

Robust Test Method of TSOP PEMs for Space Application

2019 ◽  
Author(s):  
Yasunobu Iwai ◽  
Koichi Shinozaki ◽  
Daiki Tanaka
Keyword(s):  
Evaluation Method ◽  
Low Cost ◽  
Reliability Evaluation ◽  
Test Method ◽  
Thermal Shock Test ◽  
Space Application ◽  
Space Applications ◽  
Limit Test ◽  
Long Time ◽  
Short Time

Abstract Compared with space parts, consumer parts are highly functional, low cost, compact and lightweight. Therefore, their increased usage in space applications is expected. Prior testing and evaluation on space applicability are necessary because consumer parts do not have quality guarantees for space application [1]. However, in the conventional reliability evaluation method, the test takes a long time, and the problem is that the robustness of the target sample can’t be evaluated in a short time. In this report, we apply to the latest TSOP PEM (Thin Small Outline Package Plastic Encapsulated Microcircuit) an evaluation method that combines preconditioning and HALT (Highly Accelerated Limit Test), which is a test method that causes failures in a short time under very severe environmental conditions. We show that this method can evaluate the robustness of TSOP PEMs including solder connections in a short time. In addition, the validity of this evaluation method for TSOP PEM is shown by comparing with the evaluation results of thermal shock test and life test, which are conventional reliability evaluation methods.

scholarly journals An Intelligent Evaluation Method to Analyze the Competitiveness of Airlines

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jun Zhao ◽  
Xumei Chen
Keyword(s):  
Neural Network ◽  
Prior Knowledge ◽  
Evaluation Method ◽  
Standard Sample ◽  
Reference Value ◽  
The Self ◽  
Index Data ◽  
Som Neural Network ◽  
Simulation Results ◽  
Self Organizing

An intelligent evaluation method is presented to analyze the competitiveness of airlines. From the perspective of safety, service, and normality, we establish the competitiveness indexes of traffic rights and the standard sample base. The self-organizing mapping (SOM) neural network is utilized to self-organize and self-learn the samples in the state of no supervision and prior knowledge. The training steps of high convergence speed and high clustering accuracy are determined based on the multistep setting. The typical airlines index data are utilized to verify the effect of the self-organizing mapping neural network on the airline competitiveness analysis. The simulation results show that the self-organizing mapping neural network can accurately and effectively classify and evaluate the competitiveness of airlines, and the results have important reference value for the allocation of traffic rights resources.

Risk early warning management and intelligent real-time system of financial enterprises based on fuzzy theory

2020 ◽  
pp. 1-11
Author(s):  
Qiaoying Ding
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Financial Risk ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Real Time System ◽  
Enterprise Risk ◽  
Early Warning Management

The financial market is changing rapidly. Since joining the WTO, our country’s financial companies have faced pressure from dual competition at domestic and abroad. The complex internal and external environment has forced financial enterprise managers to improve risk prevention awareness, early warning and monitoring, so as to responding to emergencies and challenges in the financial market. However, traditional forecasting and analysis methods have problems such as large workload, low efficiency, and low accuracy. Therefore, this article applies intelligent computing to the forecast of financial markets, using related concepts of fuzzy theory and Internet intelligent technology, and proposes to establish a model system for financial enterprise risk early warning management and intelligent real-time monitoring based on fuzzy theory. This article first collected a large amount of data through the literature investigation method, and made a systematic and complete introduction to the related theoretical concepts of fuzzy theory and financial risk early-warning management, has laid a sufficient theoretical foundation for the subsequent exploration of the application of fuzzy theory in financial enterprise risk early warning management and intelligent real-time systems; Then a fuzzy comprehensive evaluation method that combines the analytic hierarchy process and fuzzy evaluation method is proposed, taking a listed company mainly engaged in automobile sales in our province as a case, the company’s financial risk management and modeling experiment of the intelligent real-time system; Finally quoted specific cases again, used the fuzzy comprehensive evaluation method to carry out risk warning and evaluation on the PPP projects of private enterprises in our province, and concluded that the project risk score is between 20-60, which is meet the severe-medium range in the risk level. Research shows that the use of fuzzy theory and modern network technology can make more accurate warnings and assessments of potential and apparent risks of financial enterprises, greatly improving the safety of financial enterprise management and reducing the losses caused by various risks.

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