Amin Mahdavi-Meymand, W. Sulisz, M. Zounemat‐Kermani
In this study novel integrative machine learning models embedded with the firefly algorithm (FA) were developed and employed to predict energy dissipation on block ramps. The used models include multi-layer perceptron neural network (MLPNN), adaptive neuro-fuzzy inference system (ANFIS), group method of data handling (GMDH), support vector regression (SVR), linear equation (LE), and nonlinear regression equation (NE). The investigation focused on the evaluation of the performance of standard and integrative models in different runs. The performances of machine learning models and the nonlinear equation are higher than the linear equation. The results also show that FA increases the performance of all applied models. Moreover, the results indicate that the ANFIS-FA is the most stable integrative model in comparison to the other embedded methods and reveal that GMDH and SVR are the most stable technique among all applied models. The results also show that the accuracy of the LE-FA technique is relatively low, RMSE=0.091. The most accurate results provide SVR-FA, RMSE=0.034.
{"title":"A comprehensive study on the application of firefly algorithm in prediction of energy dissipation on block ramps","authors":"Amin Mahdavi-Meymand, W. Sulisz, M. Zounemat‐Kermani","doi":"10.17531/ein.2022.2.2","DOIUrl":"https://doi.org/10.17531/ein.2022.2.2","url":null,"abstract":"In this study novel integrative machine learning models embedded with the firefly algorithm (FA) were developed and employed to predict energy dissipation on block ramps. The used models include multi-layer perceptron neural network (MLPNN), adaptive neuro-fuzzy inference system (ANFIS), group method of data handling (GMDH), support vector regression (SVR), linear equation (LE), and nonlinear regression equation (NE). The investigation focused on the evaluation of the performance of standard and integrative models in different runs. The performances of machine learning models and the nonlinear equation are higher than the linear equation. The results also show that FA increases the performance of all applied models. Moreover, the results indicate that the ANFIS-FA is the most stable integrative model in comparison to the other embedded methods and reveal that GMDH and SVR are the most stable technique among all applied models. The results also show that the accuracy of the LE-FA technique is relatively low, RMSE=0.091. The most accurate results provide SVR-FA, RMSE=0.034.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"40 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75624924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Given the high-power concentration of combustion engines used in military aviation, it is reasonable to measure the instantaneous surges in the sound pressure level. Therefore, a research question was raised regarding the differences in this level for various aircraft engines of the same type (F100-PW-229) to assess their size and statistical significance. The aim of the paper is to discuss the attempt to check the significant difference between the parameters of the acoustic level generated by the aircraft engines. The measurements were carried out for 32 engines of the F-16 Block 52+ multirole aircraft during takeoff process. The parameters of noise in the point system and in the octave distribution were subject to analysis. Statistical methods dedicated to assessing production stability, i.e. the Shewhart chart, were applied. The results of the analysis showed that the discrepancies generally do not exceed a value of +/− 3σ . Therefore, it can be concluded that the analogous results for F-16 noise are homogeneous. Thus, the Shewhart chart method proved useful for assessing the homogeneity of these measurements.
{"title":"Innovative application of quality methods in the homogeneity assessment of the F-16 aircraft group in terms of generated noise","authors":"A. Misztal, G. Szymański, W. Misztal, P. Komorski","doi":"10.17531/ein.2022.2.1","DOIUrl":"https://doi.org/10.17531/ein.2022.2.1","url":null,"abstract":"Given the high-power concentration of combustion engines used in military aviation, it is\u0000reasonable to measure the instantaneous surges in the sound pressure level. Therefore, a research question was raised regarding the differences in this level for various aircraft engines of the same type (F100-PW-229) to assess their size and statistical significance. The aim of the paper is to discuss the attempt to check the significant difference between the parameters of the acoustic level generated by the aircraft engines. The measurements were carried out for 32 engines of the F-16 Block 52+ multirole aircraft during takeoff process. The parameters of noise in the point system and in the octave distribution were subject to analysis. Statistical methods dedicated to assessing production stability, i.e. the Shewhart chart, were applied. The results of the analysis showed that the discrepancies generally do not exceed a value of +/− 3σ . Therefore, it can be concluded that the analogous results for F-16 noise are homogeneous. Thus, the Shewhart chart method proved useful for assessing the homogeneity of these measurements.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"30 1 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85144063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Łukasz Breńkacz, P. Bagiński, M. Adamowicz, Sebastian Giziewski
Due to ongoing research work, a prototype test rig for testing high speed motors/generators has been developed. Its design is quite unique as the two high speed machines share a single shaft with no support bearings between them. A very high maximum operating speed, up to 80,000 rpm, was required. Because of the need to minimise vibration during operation at very high rotational speeds, rolling bearings were used. To eliminate the influence of higher harmonics of supply voltage and current on the formation of torque oscillations on the shaft and excessive losses in the form of heat, a voltage source inverter with high switching silicon carbide (SiC) power transistors characterizing high precision of the output voltage generation with a fundamental harmonic frequency of several kilohertz has been used. During the first start-ups, it turned out that the system was not stable, and a failure occurred. The paper presents the consequences that may arise when a machine operating at a speed of about 70,000 rpm fails. The article contains pictures of a generator failure that occurred at a high rotational speed.
{"title":"Failure analysis of a high-speed induction machine driven by a SiC-inverter and operating on a common shaft with a high-speed generator","authors":"Łukasz Breńkacz, P. Bagiński, M. Adamowicz, Sebastian Giziewski","doi":"10.17531/ein.2022.1.20","DOIUrl":"https://doi.org/10.17531/ein.2022.1.20","url":null,"abstract":"Due to ongoing research work, a prototype test rig for testing high speed motors/generators has been developed. Its design is quite unique as the two high speed machines share a single shaft with no support bearings between them. A very high maximum operating speed, up to 80,000 rpm, was required. Because of the need to minimise vibration during operation at very high rotational speeds, rolling bearings were used. To eliminate the influence of higher harmonics of supply voltage and current on the formation of torque oscillations on the shaft and excessive losses in the form of heat, a voltage source inverter with high switching silicon carbide (SiC) power transistors characterizing high precision of the output voltage generation with a fundamental harmonic frequency of several kilohertz has been used. During the first start-ups, it turned out that the system was not stable, and a failure occurred.\u0000The paper presents the consequences that may arise when a machine operating at a speed of about 70,000 rpm fails. The article contains pictures of a generator failure that occurred at a high rotational speed.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"05 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86127201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xuanzi Chen, Krzysztof Przystupa, Z. Ye, Feng Chen, Chunzhi Wang, Jinhang Liu, Rong Gao, Ming Wei, Orest Kochan
In recent years, forecasting has received increasing attention since it provides an important basis for the effective operation of power systems. In this paper, a hybrid method, composed of kernel principal component analysis (KPCA), tree seed algorithm based on Lévy flight (LTSA) and extreme learning machine (ELM), is proposed for short-term load forecasting. Specifically, the randomly generated weights and biases of ELM have a significant impact on the stability of prediction results. Therefore, in order to solve this problem, LTSA is utilized to obtain the optimal parameters before the prediction process is executed by ELM, which is called LTSA-ELM. Meanwhile, the input data is extracted by KPCA considering the sparseness of the electric load data and used as the input of LTSA-ELM model. The proposed method is tested on the data from European network on intelligent technologies (EUNITE) and experimental results demonstrate the superiority of the proposed approaches compared to the other methods involved in the paper.
{"title":"Forecasting short-term electric load using extreme learning machine with improved tree seed algorithm based on Lévy flight","authors":"Xuanzi Chen, Krzysztof Przystupa, Z. Ye, Feng Chen, Chunzhi Wang, Jinhang Liu, Rong Gao, Ming Wei, Orest Kochan","doi":"10.17531/ein.2022.1.17","DOIUrl":"https://doi.org/10.17531/ein.2022.1.17","url":null,"abstract":"In recent years, forecasting has received increasing attention since it provides an important basis for the effective operation of power systems. In this paper, a hybrid method, composed of kernel principal component analysis (KPCA), tree seed algorithm based on Lévy flight (LTSA) and extreme learning machine (ELM), is proposed for short-term load forecasting. Specifically, the randomly generated weights and biases of ELM have a significant impact on the stability of prediction results. Therefore, in order to solve this problem, LTSA is utilized to obtain the optimal parameters before the prediction process is executed by ELM, which is called LTSA-ELM. Meanwhile, the input data is extracted by KPCA considering the sparseness of the electric load data and used as the input of LTSA-ELM model. The proposed method is tested on the data from European network on intelligent technologies (EUNITE) and experimental results demonstrate the superiority of the proposed approaches compared to the other methods involved in the paper.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"92 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73543687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article presents the experimental strength evaluation of modular car trailers with a maximum permissible total mass of up to 3500 kg and its application to assess the mechanical strength of box-type car trailers. Tests were carried out using an original test bench dedicated to fatigue testing. They aimed to compare a trailer made in traditional technology with a trailer equipped with a load-carrying structure containing a sandwich panel. As a result of the conducted work, the displacement values of the measurement points were measured. The deformation form of the trailer made in the traditional technology was compared with the trailer containing the sandwich panel. The proposed method of experimental strength evaluation of modular car trailers enables a quantitative assessment of the mechanical strength of the load-carrying structures of trailers. This results in improved safety of trailer operation in road traffic by identifying the critical elements of the load-carrying structure at the early design phase before the trailer is allowed to run on the road
{"title":"Strength testing of a modular trailer with a sandwich platform","authors":"M. Mysior, Grzegorz Pietrucha, Sebastian Koziolek","doi":"10.17531/ein.2022.1.18","DOIUrl":"https://doi.org/10.17531/ein.2022.1.18","url":null,"abstract":"The article presents the experimental strength evaluation of modular car trailers with a maximum permissible total mass of up to 3500 kg and its application to assess the mechanical strength of box-type car trailers. Tests were carried out using an original test bench dedicated to fatigue testing. They aimed to compare a trailer made in traditional technology with a trailer equipped with a load-carrying structure containing a sandwich panel. As a result of the conducted work, the displacement values of the measurement points were measured. The deformation form of the trailer made in the traditional technology was compared with the trailer containing the sandwich panel. The proposed method of experimental strength evaluation of modular car trailers enables a quantitative assessment of the mechanical strength of the load-carrying structures of trailers. This results in improved safety of trailer operation in road traffic by identifying the critical elements of the load-carrying structure at the early design phase before the trailer is allowed to run on the road","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"2014 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90478621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NOx emission reduction in diesel engines can be achieved by using catalytic reactors reducing nitrogen oxides, including NH3-SCR and possibly also HC-SCR reactors. Reactors using ammonia achieve large conversion rates but cause a lot of operational problems. For this reason, the interest in reactors using hydrocarbons and their derivatives to reduce NOx has increased. Such reactors are the ones using metals from Group 11 (coinage metals) such as Cu, Ag and Au placed on an Al2O3-SiO2 carrier as active materials. The article characterizes the porosity and acidity of the carrier surface. Conversion of NO2, NO and propene as well as the formation of CO and N2O depending on the temperature at constant dosing of propene on a carrier covered with Cu, Ag and Au with a metal content of 4 g/dm3 were evaluated. The results of the tests showed that the tested Group 11 elements can be the basis for further experiments related to the development of this exhaust fumes cleaning technology for diesel engines.
{"title":"The comparative analysis of catalytic properties of Group 11 elements in NOx reduction by hydrocarbons in the presence of oxygen","authors":"S. Kruczyński, P. Orliński, M. Slezak","doi":"10.17531/ein.2022.1.19","DOIUrl":"https://doi.org/10.17531/ein.2022.1.19","url":null,"abstract":"NOx emission reduction in diesel engines can be achieved by using catalytic reactors reducing nitrogen oxides, including NH3-SCR and possibly also HC-SCR reactors. Reactors using ammonia achieve large conversion rates but cause a lot of operational problems. For this reason, the interest in reactors using hydrocarbons and their derivatives to reduce NOx has increased. Such reactors are the ones using metals from Group 11 (coinage metals) such as Cu, Ag and Au placed on an Al2O3-SiO2 carrier as active materials. The article characterizes the porosity and acidity of the carrier surface. Conversion of NO2, NO and propene as well as the formation of CO and N2O depending on the temperature at constant dosing of propene on a carrier covered with Cu, Ag and Au with a metal content of 4 g/dm3 were evaluated. The results of the tests showed that the tested Group 11 elements can be the basis for further experiments related to the development of this exhaust fumes cleaning technology for diesel engines.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"29 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74644403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
When a railway pantograph interacts with a catenary during the movement of a rail vehicle, several physical phenomena, both mechanical and electrical, occur in the system. These phenomena affect the quality of power supply of a train from traction devices. The unfavourable arcing occurring when there are disturbances of contact between the pantograph’s slider and the catenary contact wire. In turn, it results in energy loss and increased wear of the components of the system. When designing new solutions, computational models are helpful to predict the quality of interaction between the components of the pantograph-contact line system already at the virtual prototyping stage. In this paper, the authors comprehensively present a multi-domain (multiphysics) model, which takes into account necessary conditions for interaction between pantograph elements and a catenary. Finally, the impact of the individual physical domains are analysed and the ones which have a significant impact on the simulation of the operation results are identified.
{"title":"Multi-domain approach to modeling pantograph-catenary interaction","authors":"P. Zdziebko, A. Martowicz, T. Uhl","doi":"10.17531/ein.2022.1.15","DOIUrl":"https://doi.org/10.17531/ein.2022.1.15","url":null,"abstract":"When a railway pantograph interacts with a catenary during the movement of a rail vehicle, several physical phenomena, both mechanical and electrical, occur in the system. These phenomena affect the quality of power supply of a train from traction devices. The unfavourable arcing occurring when there are disturbances of contact between the pantograph’s slider and the catenary contact wire. In turn, it results in energy loss and increased wear of the components of the system. When designing new solutions, computational models are helpful to predict the quality of interaction between the components of the pantograph-contact line system already at the virtual prototyping stage. In this paper, the authors comprehensively present a multi-domain (multiphysics) model, which takes into account necessary conditions for interaction between pantograph elements and a catenary. Finally, the impact of the individual physical domains are analysed and the ones which have a significant impact on the simulation of the operation results are identified.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"19 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88330196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vibration is an inevitable phenomenon in the coal cutting process and severe vibration leads to efficiency loss for cutting equipment. To understand the impact of vibration on cutting equipment and explore the measures to improve the stability, the dynamic response of cutting equipment is analyzed. The shearer drum, which always undertakes coal cutting task and is the vibration source in working process, is established with finite element method and the relations between cutting performance and vibration characteristics are analyzed. Hydraulic system, vulnerable to external shocks, is also established and the dynamic responses of hydraulic piston under different working stages are analyzed. In the frequency domain analysis on cutting load, results show that a vibration signal with higher amplitude appears, which is consistent with the drum vibration frequency. It demonstrates that drum vibration happens under impact load, especially during height adjustment stages. The research provides the methods for vibration reduction and would be helpful for improvement of shearer reliability.
{"title":"Dynamic response and reliability analysis of shearer drum cutting performance in coal mining process","authors":"L. Wan, K. Jiang, Q. Zeng, K. Gao","doi":"10.17531/ein.2022.1.14","DOIUrl":"https://doi.org/10.17531/ein.2022.1.14","url":null,"abstract":"Vibration is an inevitable phenomenon in the coal cutting process and severe vibration leads to efficiency loss for cutting equipment. To understand the impact of vibration on cutting equipment and explore the measures to improve the stability, the dynamic response of cutting equipment is analyzed. The shearer drum, which always undertakes coal cutting task and is the vibration source in working process, is established with finite element method and the relations between cutting performance and vibration characteristics are analyzed. Hydraulic system, vulnerable to external shocks, is also established and the dynamic responses of hydraulic piston under different working stages are analyzed. In the frequency domain analysis on cutting load, results show that a vibration signal with higher amplitude appears, which is consistent with the drum vibration frequency. It demonstrates that drum vibration happens under impact load, especially during height adjustment stages. The research provides the methods for vibration reduction and would be helpful for improvement of shearer reliability.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"120 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79425567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ziling Zhang, Shuo Feng, Yan Ding, Xiao Mei, Zhiqiang Tao
Machining accuracy reliability as a key index of CNC machine tools is seriously influenced by the geometric and thermal errors. In the paper, a spindle unit thermal error modeling and machining accuracy reliability analysis method is proposed. By analyzing the heat generation mechanism, a thermal error model was developed to describe the thermal deformation of the electric spindle. Based on the immune algorithm (IA), the heat generation power and the heat transfer coefficient were optimized, and the thermal error was obtained by finite element thermal-mechanical coupling. By adopting the multi-body system theory (MBS), a dynamic machining accuracy model was put forward including the geometric and thermal errors. Based on the Latin hypercube sampling Monte Carlo method (LHSMC), a machining accuracy reliability analysis method was proposed to characterize the machining accuracy reliability considering the geometric and thermal errors. The method was employed to a machine tool, and the experimental results indicate the verification and superiority of the method.
{"title":"Thermal error modeling of spindle and dynamic machining accuracy reliability analysis of CNC machine tools based on IA and LHSMC","authors":"Ziling Zhang, Shuo Feng, Yan Ding, Xiao Mei, Zhiqiang Tao","doi":"10.17531/ein.2022.1.12","DOIUrl":"https://doi.org/10.17531/ein.2022.1.12","url":null,"abstract":"Machining accuracy reliability as a key index of CNC machine tools is seriously influenced\u0000by the geometric and thermal errors. In the paper, a spindle unit thermal error modeling and machining accuracy reliability analysis method is proposed. By analyzing the heat generation mechanism, a thermal error model was developed to describe the thermal deformation of the electric spindle. Based on the immune algorithm (IA), the heat generation power and the heat transfer coefficient were optimized, and the thermal error was obtained by finite element thermal-mechanical coupling. By adopting the multi-body system theory (MBS), a dynamic machining accuracy model was put forward including the geometric and thermal errors. Based on the Latin hypercube sampling Monte Carlo method (LHSMC), a machining accuracy reliability analysis method was proposed to characterize the machining accuracy reliability considering the geometric and thermal errors. The method was employed to a machine tool, and the experimental results indicate the verification and superiority of the method.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"40 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81582044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article presents a new approach to the exploitation assessment of machines and devices. A key aspect of this approach is the construction of the assessment model based on the geometric representation of measures associated with each other, which covers the full specifics of the exploitation process. This approach is successfully implemented by the Overall Equipment Effectiveness (OEE) model, which is fully susceptible to the geometric modelling process due to the three-way system of assessed exploitation aspects. The result of this approach is the vectored OEE model and its interpretation in terms of time series of changes in values of components. Methods of determining vector calculus measures were developed, including the second-order tensor and gradient. This is the subject of the variability of the reliability conditions of machines or production processes. It allows for the realisation of an exploitation assessment based on dynamic changes in the values of their components in the time domain. This is a significant difference to the classical static approach to such an assessment. The developed new geometric OEE model was confirmed by verification tests using the LabView software, based on two parallel data sets obtained with analytical and simulation methods using the FlexSim software.
{"title":"Geometric approach to machine exploitation efficiency: modelling and assessment","authors":"Andrzej Loska, W. Paszkowski","doi":"10.17531/ein.2022.1.13","DOIUrl":"https://doi.org/10.17531/ein.2022.1.13","url":null,"abstract":"This article presents a new approach to the exploitation assessment of machines and devices. A key aspect of this approach is the construction of the assessment model based on the geometric representation of measures associated with each other, which covers the full specifics of the exploitation process. This approach is successfully implemented by the Overall Equipment Effectiveness (OEE) model, which is fully susceptible to the geometric modelling process due to the three-way system of assessed exploitation aspects. The result of this approach is the vectored OEE model and its interpretation in terms of time series of changes in values of components. Methods of determining vector calculus measures were developed, including the second-order tensor and gradient. This is the subject of the variability of the\u0000reliability conditions of machines or production processes. It allows for the realisation of\u0000an exploitation assessment based on dynamic changes in the values of their components in the time domain. This is a significant difference to the classical static approach to such an assessment. The developed new geometric OEE model was confirmed by verification tests using the LabView software, based on two parallel data sets obtained with analytical and simulation methods using the FlexSim software.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"12 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82419964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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