scholarly journals Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiangong Li ◽  
Yuzhi Zhang ◽  
Yu Li ◽  
Yujie Zhan ◽  
Lin Yang
Keyword(s):  
Performance Evaluation ◽  
Bayesian Network ◽  
Evaluation Model ◽  
Dynamic Bayesian Network ◽  
Operating Conditions ◽  
Monitoring Data ◽  
Health State ◽  
Belt Conveyor ◽  
State Prediction ◽  
And Performance

To deal with the problem of weak prediction and performance evaluation capabilities of traditional prediction and evaluation methods, a method of health state prediction and performance evaluation of belt conveyor based on Dynamic Bayesian Network (DBN) is proposed. First, the belt conveyor sensor monitoring data are preprocessed to obtain the feature data set with labels. At the same time, qualitative and quantitative analyses and interval discretization are carried out from belt conveyor fault-causing elements to construct the DBN network. Then, the sample data are applied to the DBN network for training, and the DBN-based prediction and performance evaluation model is established. Finally, taking the real-time monitoring data of a belt conveyor in an underground mine as an example, a DBN-based belt conveyor health prediction and evaluation model is constructed to evaluate and predict the health of the equipment. The results show that the model could identify different operating conditions and failure modes and further improves the prediction accuracy.

scholarly journals Health State Prediction of Aero-Engine Gas Path System Considering Multiple Working Conditions Based on Time Domain Analysis and Belief Rule Base

Symmetry ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 26
Author(s):  
Xiaojing Yin ◽  
Guangxu Shi ◽  
Shouxin Peng ◽  
Yu Zhang ◽  
Bangcheng Zhang ◽  
...  
Keyword(s):  
Prediction Model ◽  
Working Conditions ◽  
Time Domain ◽  
Monitoring Data ◽  
Rule Base ◽  
Health State ◽  
Health States ◽  
State Prediction ◽  
Belief Rule Base ◽  
Path System

The gas path system is an important part of an aero-engine, whose health states can affect the security of the airplane. During the process of aircraft operation, the gas path system will have different working conditions over time, owing to the change of control parameters. However, the different working conditions which change the symmetry of the system will affect parameters of the health state prediction model for the gas path system. The symmetry of the system will also change. Therefore, it is important to consider the influence of variable working conditions when predicting the health states of gas path system. The accuracy of the health state prediction results of the gas path system will be low if the same evaluation standard is used for different working conditions. In addition, the monitoring data of the gas path system’s health state feature quantity is huge while the fault data which can reflect the health states of the gas path system are poor. Thus, it is difficult to establish a health state prediction model only by using the monitoring data of the gas path system. In order to avoid problems, this paper proposes a health state prediction model considering multiple working conditions based on time domain analysis and a belief rule base. First, working condition is divided by using time domain characteristics. Then, a belief rule base (BRB) theory-based health state prediction model is built, which can fuse expert knowledge and fault monitoring data to improve modeling accuracy. The reference value of the feature is given by the fuzzy C-means algorithm in a model. To decrease the uncertainty of expert knowledge, the covariance matrix adaptive evolution strategy (CMA-ES) is used as the optimization algorithm. Finally, a NASA public dataset without labels is used to verify the proposed health state model. The results show that the proposed health prediction model of a gas path system can accurately realize health state prediction under multiple working conditions.

Study on the Management Performance Evaluation Model of Water Conservancy Agent Construction Project Based on Maturity and SCP Model

2014 ◽  
Vol 584-586 ◽  
pp. 2282-2285
Author(s):  
Xi Deng ◽  
Ping Gao ◽  
Jia Chen
Keyword(s):  
Performance Evaluation ◽  
Evaluation Model ◽  
Construction Project ◽  
Three Dimensional ◽  
Evaluation Index System ◽  
Management Performance ◽  
Performance Evaluation Model ◽  
Performance Evaluation Index ◽  
Water Conservancy ◽  
And Performance

During the next National Twelfth Five-Year Plan period, more and more water conservancy projects will be used agent construction mode in our country. The research of the management performance evaluation model for water conservancy is significant in improving the agent construction system both in theory and in practice. Considering the characteristics of the water conservancy project, a conceptual model of management performance is established, including agent construction structure and agent construction conduct. And a three-dimensional management performance evaluation model of water conservancy agent construction project is constructed based on the SCP (Structure-Conduct-Performance) analysis paradigm. Through literature review and questionnaire survey, this paper further refined evaluation dimension. Finally, a comprehensive and practical performance evaluation index system which consists of the 13 first-class, 39 second-class indexes is established. Thus, lay solid foundation for the performance evaluation and performance improvement.

Supply chain DEA: production possibility set and performance evaluation model

2009 ◽  
Vol 185 (1) ◽  
pp. 195-211 ◽  
Author(s):  
Feng Yang ◽  
Dexiang Wu ◽  
Liang Liang ◽  
Gongbing Bi ◽  
Desheng Dash Wu
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Evaluation Model ◽  
Production Possibility ◽  
Performance Evaluation Model ◽  
Production Possibility Set ◽  
And Performance

Exergy Analysis for the Performance of Solar Collectors

1983 ◽  
Vol 105 (2) ◽  
pp. 163-167 ◽  
Author(s):  
M. Fujiwara
Keyword(s):  
Performance Evaluation ◽  
Pressure Drop ◽  
Exergy Analysis ◽  
Operating Conditions ◽  
Exergy Loss ◽  
Optimum Operating ◽  
Solar Collectors ◽  
Optimum Control ◽  
Friction Process ◽  
And Performance

The optimum control and performance evaluation of solar collectors are analyzed from the standpoint of exergy. The pressure drop inside the collector is introduced to the analysis using the Hottel-Whillier model. By treating the friction process as exergy loss, the optimum operating conditions are presented in a simple statement. The maximum capability of collectors is determined and expressed by a relationship among the collector parameters and the environment in which they operates.

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