Quality Evaluation of Belt Conveyor Based on Extenics Theory

2013 ◽  
Vol 694-697 ◽  
pp. 2960-2963 ◽  
Author(s):  
Chen Liu ◽  
Xu Ming Wang
Keyword(s):  
Quality Evaluation ◽  
Element Model ◽  
Belt Conveyor ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
Quality Grade ◽  
Relational Degree ◽  
Matter Element Model ◽  
Hierarchy Process

Extenics theory is used to establish the matter-element model for the quality evaluation of the belt conveyor. Introducing the relational function in the extension set theory to calculate the relational degree, defining the weights of evaluation indexes with AHP (the analytic hierarchy process), and so the quality grade of the awaiting evaluation belt conveyor can be obtained. Taking a type of belt conveyor as an example to study the practical application of the proposed method, the results show that the method possesses a certain practicability. The method can give a reasonable evaluation on the quality of belt conveyor.

Study on the Quality Evaluation System of Belt Conveyor

2014 ◽  
Vol 685 ◽  
pp. 169-172
Author(s):  
Xu Ming Wang
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Element Model ◽  
Belt Conveyor ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
Relational Degree ◽  
Quality Evaluation System ◽  
Matter Element Model ◽  
Hierarchy Process

The belt Conveyor is widely used in all kinds of machanics, so the quality evaluation of belt conveyor is very necessary. Extenics theory is frequently used to build matter-element model. This paper uses theory of matter elements analysis to establish the mathematical models for the quality evaluation of belt conveyor, presents an evaluation regulation, calculates the relational degree, and define the weights of evaluation indexes with the analytic hierarchy process. Finally, the quality grade of the awaiting evaluation belt conveyor is established.

Application of Extenics Theory to Accuracy Evaluation of Machining Center

2013 ◽  
Vol 397-400 ◽  
pp. 135-139
Author(s):  
Chen Liu ◽  
Xiang Li Bu
Keyword(s):  
Set Theory ◽  
Element Model ◽  
Accuracy Evaluation ◽  
Practical Application ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
Machining Center ◽  
Relational Degree ◽  
Matter Element Model ◽  
Hierarchy Process

The matter-element model for the accuracy evaluation of the machining center is established based on extenics theory, the accuracy evaluation indexes of machining cente are made of multiple elements. The relational degree is calculated by introducing the relational function in the extension set theory, and the weights of evaluation indexes are defined with AHP (the analytic hierarchy process), so the awaiting evaluation machining center is determined though the accuracy grade. A type of machining center as an example is studied the practical application of the proposed method, the result is reasonable and shows that the method possesses a certain practicability.

Motion Performs Evaluation of a Numerical Machine Tool Based on Extenics Theory

2013 ◽  
Vol 433-435 ◽  
pp. 1161-1164
Author(s):  
Chen Liu ◽  
Xiang Li Bu
Keyword(s):  
Machine Tool ◽  
Evaluation Method ◽  
Element Model ◽  
Weight Coefficient ◽  
Numerical Control ◽  
Control Machine Tool ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
Relational Degree ◽  
Control Machine

Abstract: In order to evaluate motion performs of a numerical control machine tool objectively, the matter-element model for the motion performs evaluation of the NC was established based on extenics theory, the motion performs evaluation indexes of NC was made of multiple elements. The relational degree was calculated by introducing the relational function in the extension set theory, and the evaluation indexes weight coefficient of NC were defined by using the 1-9 scale law in AHP (the analytic hierarchy process). A numerical control machine tool as a study object, the motion performs was studied by using the extenics theory. The result indicated that the motion performs of this NC was good, the evaluation method possesses a certain practicability.

scholarly journals Evaluation of Teaching Quality of College Physical Education Based on Analytic Hierarchy Process

2020 ◽  
Vol 15 (10) ◽  
pp. 86
Author(s):  
Ke Han
Keyword(s):  
Quality Evaluation ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Grey System ◽  
Analytic Hierarchy ◽  
Evaluation Systems ◽  
Evaluation Of Teaching ◽  
Set Up ◽  
Hierarchy Process

There are many difficulties in the evaluation of the teaching quality of phys-ical education (PE) in colleges: the evaluation factors are complicated, the evaluation systems are incomplete, and the evaluation methods are not com-prehensive enough. To overcome these difficulties, this paper introduces an-alytic hierarchy process (AHP) to the evaluation of PE teaching quality in colleges. Firstly, the authors identified the influencing factors of PE teaching in colleges today. Next, an index system was established for the evaluation, and an evaluation model was set up based on the AHP and grey system theo-ry (GST). Finally, our method was proved feasible through example analysis. The research results provide new insights on the application of state-of-the-art theories in quality evaluation of higher education.

scholarly journals Application of multiple criteria decision methods to optimise learning scenarios

2016 ◽  
Vol 57 ◽  
Author(s):  
Julija Kurilova ◽  
Eugenijus Kurilovas
Keyword(s):  
Comparative Analysis ◽  
Quality Evaluation ◽  
Fuzzy Numbers ◽  
Analytic Hierarchy ◽  
Personalised Learning ◽  
Decision Methods ◽  
Learning Scenarios ◽  
Optimisation Methods ◽  
Hierarchy Process

In the paper, learning scenarios (units) quality evaluation and optimisation problems are analysed. Learning scenarios optimisation is referred here as its personalisation according to learners needs. In the paper, comparative analysis of two popular optimisation methods based on Fuzzy numbers theory and Analytic Hierarchy Process is performed, aiming to measure what method is the most suitable to evaluate the quality of personalised learning scenarios. Learning scenarios quality is referred here as its suitability to learners needs. Research results show that Fuzzy numbers theorybased methods are more suitable to evaluate the quality of personalised learning scenarios.

scholarly journals Evaluation of Ground Surface Pregrouting in a Mountain Tunnel Based on FAHP

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Changan Zhu ◽  
Runfang Sun ◽  
Hua Xu ◽  
Yiwei Liu ◽  
Zhuang Chen
Keyword(s):  
Quality Evaluation ◽  
Ground Surface ◽  
Field Tests ◽  
Analytic Hierarchy ◽  
Quality Classification ◽  
Final Score ◽  
Hierarchy Process ◽  
Mountain Tunnel

The quality of ground surface pregrouting (GSPG) is commonly qualitatively evaluated using single factor; however, the quality evaluation involves numerous facets, and a quantitative evaluation is rare. The aim of this study was to quantitatively evaluate the quality of a GSPG based on three aspects. The fuzzy analytic hierarchy process (FAHP) was adopted to obtain the final score and quality classification of the GSPG. Based on three aspects, namely, integrity, continuity, and sturdiness, a series of field tests was also conducted, qualitatively evaluating the quality of the GSPG preliminary, to obtain the required test data and verify the FAHP results. The results of the FAHP showed that the quality of the GSPG was 86.42, which could be classified as “Good”, whereas the field tests exhibited that the GSPG was effective, thereby verifying that the FAHP was reliable. In addition, the proposed method provided a detailed comprehension of the quality evaluation of GSPG and a frame of reference for analogous engineering.

Predicting the End Temperature of Molten Steel Using CBR

2012 ◽  
Vol 164 ◽  
pp. 7-11 ◽  
Author(s):  
De Hua Liu ◽  
Hong Bing Wang ◽  
An Jun Xu
Keyword(s):  
Molten Steel ◽  
Relative Weight ◽  
Case Based Reasoning ◽  
Analytic Hierarchy ◽  
Steel Material ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
Grey Relational ◽  
Hierarchy Process

Steel is a kind of important material. The accurate control about the end temperature of molten steel has significant impact on the quality of steel material. Case Based Reasoning (CBR) is used to predict the end temperature of molten steel in Argon Oxygen Decarburization (AOD). Grey Relational Degree (GRD) with different weights of attributes is adopted to calculate the similarity between cases. Analytic Hierarchy Process (AHP) is taken to determine the weights of attributes. Multiple Linear Regression (MLR) is applied to compute the relative weight of two different attributes for AHP. Two methods, CBR using AHP with Equal Weights (CBR_AHP_EW) and CBR using AHP with Different Weights (CBR_AHP_DW), are employed to for a comparison. The results show that CBR_AHP_DW is effective in predicting the end temperature of molten steel in AOD and CBR_AHP_DW outperforms CBR_AHP_EW.

scholarly journals Eutrophication Assessment Based on the Cloud Matter Element Model

2020 ◽  
Vol 17 (1) ◽  
pp. 334
Author(s):  
Yumin Wang ◽  
Xian’e Zhang ◽  
Yifeng Wu
Keyword(s):  
Cloud Model ◽  
Evaluation Process ◽  
Element Model ◽  
Analytic Hierarchy ◽  
Index Method ◽  
Comprehensive Index Method ◽  
Analytic Hierarchy Process Method ◽  
Matter Element Model ◽  
Hierarchy Process ◽  
Process Method

Eutrophication has become one of the most serious problems threatening the lakes/reservoirs in China over 50 years. Evaluation of eutrophication is a multi-criteria decision-making process with uncertainties. In this study, a cloud matter element (CME) model was developed in order to evaluate eutrophication level objectively and scientifically, which incorporated the randomness and fuzziness of eutrophication evaluation process. The elements belonging to each eutrophication level in the CME model were determined by means of certainty degrees through repeated simulations of cloud model with reasonable parameters of expectation Ex, entropy En, and hyper-entropy He. The weights of evaluation indicators were decided by a combination of entropy technology and analytic hierarchy process method. The neartudes of water samples to each eutrophication level of lakes/reservoirs in the CME model were generated and the eutrophication levels were determined by maximum neartude principal. The proposed CME model was applied to evaluate eutrophication levels of 24 typical lakes/reservoirs in China. The results of the CME model were compared with those of comprehensive index method, matter element model, fuzzy matter element model, and cloud model. Most of the results obtained by the CME model were consistent with the results obtained by other methods, which proved the CME model is an effective tool to evaluate eutrophication.

scholarly journals A comprehensive data quality evaluation method for the current of marine controlled-source electromagnetic transmitter based on Analytic Hierarchy Process

2019 ◽  
Author(s):  
Rui Yang ◽  
Meng Wang ◽  
Gongxiang Wang ◽  
Ming Deng ◽  
Jianen Jing ◽  
...  
Keyword(s):  
Electromagnetic Wave ◽  
Analytic Hierarchy Process ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Current Data ◽  
Analytic Hierarchy ◽  
Controlled Source ◽  
Electromagnetic Transmitter ◽  
Hierarchy Process

Abstract. Marine controlled-source electromagnetic method has more and more applications in ocean resources exploration. Electromagnetic transmitter sends electromagnetic wave to the underground, the receiver located on the seafloor receives the electromagnetic wave which carries the information of the geosphere. And the underground structure is obtained by inversion calculation. Data quality of electromagnetic transmitter and seafloor receivers is the most important part of this method. The quality level of transmitting current directly affects the signal-to-noise ratio (SNR) of the electromagnetic field data, as received by a multi-component electromagnetic receiver from the seabed. Although the transmitting current stability is sufficient under normal circumstances, the SNR of the received signal can change owing to factors such as outside noise. In some emergency cases such as instrument failure or a sudden increase in electromagnetic interference that we are not aware of, the frequency and properties of the transmitting current may change, such as its size and waveform. The traditional current monitoring and data playback tools fail to detect and evaluate the anomalies well and in a timely manner, which introduces considerable errors in the later data processing procedure. Pertaining to these issues, this paper proposes a comprehensive quality evaluation method for the transmitting current. The proposed algorithm, based on the analytic hierarchy process, is first used to analyse five current stability parameters: current frequency, positive amplitudes, negative amplitudes, discrepancy of ideal waveform, and waveform repetition and then to define the harmonic energy and calculate the quality of transmitting current (QTC) index of the final data to assess the quality of the transmitting current comprehensively. The results of a marine experiment performed in 2016 show that the algorithm can identify abnormal current data and quantitatively evaluate the current conditions. Under normal circumstances, the QTC index is within 2 %. However, after the simulation of anomalous mutations of the various attributes, the QTC index synchronized mutations to more than 4 % and some curvilinear features were observed. These results will provide a positive, significant guide for the evaluation and monitoring of transmitting current data in marine experiments.

scholarly journals A comprehensive data quality evaluation method for the currents of marine controlled-source electromagnetic transmitters based on the analytic hierarchy process

2020 ◽  
Vol 9 (1) ◽  
pp. 69-77
Author(s):  
Rui Yang ◽  
Meng Wang ◽  
Gongxiang Wang ◽  
Ming Deng ◽  
Jianen Jing ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Current Data ◽  
Sudden Increase ◽  
Analytic Hierarchy ◽  
Controlled Source ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Abstract. We present a quality control methodology for the currents of marine controlled-source electromagnetic transmitters . The quality level of the transmitting current directly affects the signal-to-noise ratio (SNR) of the electromagnetic-field data, as received by a multicomponent electromagnetic receiver from the seabed. Although the transmitting-current stability is sufficient under normal circumstances, the SNR of the received signal can change owing to factors such as outside noise. In some emergency cases such as instrument failure or a sudden increase in electromagnetic interference that we are not aware of, the frequency and properties of the transmitting current, such as its size and waveform, may change. The traditional current monitoring and data playback tools fail to detect and evaluate the anomalies well and in a timely manner, which introduces considerable errors in the later data-processing procedure. Pertaining to these issues, this paper proposes a comprehensive quality evaluation method for the transmitting current. The proposed algorithm, based on the analytic hierarchy process, is first used to analyze five current stability parameters – current frequency, positive amplitudes, negative amplitudes, discrepancy of ideal waveform, and waveform repetition – and then to define the harmonic energy and calculate the quality of transmitting current (QTC) index of the final data to assess the quality of the transmitting current comprehensively. The results of a marine experiment performed in 2016 show that the algorithm can identify abnormal current data and quantitatively evaluate the current conditions. Under normal circumstances, the QTC index is less than 2 %. The key findings are that the QTC index changes to more than 4 % and some curvilinear features are observed if the transmitting-current quality is poor. These results will provide a positive, significant guide for the evaluation and monitoring of transmitting-current data in marine experiments.

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