Fernando Augusto Catalano Fernandes, C. Souto, R. Pirk
{"title":"Static Firing Tests of Solid Propellant Rocket Motors: Uncertainty Levels of Thrust Measurements","authors":"Fernando Augusto Catalano Fernandes, C. Souto, R. Pirk","doi":"10.1590/jatm.v14.1270","DOIUrl":"https://doi.org/10.1590/jatm.v14.1270","url":null,"abstract":"","PeriodicalId":14872,"journal":{"name":"Journal of Aerospace Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67185765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sérgio Ricardo de Freitas Oliveira, G. C. Rocha, D. de Andrade
{"title":"A Customized Data Model for an Integrated Process of Requirements and Configuration Management","authors":"Sérgio Ricardo de Freitas Oliveira, G. C. Rocha, D. de Andrade","doi":"10.1590/jatm.v14.1278","DOIUrl":"https://doi.org/10.1590/jatm.v14.1278","url":null,"abstract":"","PeriodicalId":14872,"journal":{"name":"Journal of Aerospace Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67185973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Harold Toring, Ranel Merino Benatiro, Nonita Legaspi, Maria Luz Cahayagan, Ronaldo Felix, Adriane Adaptar, Sylvester T. Cortes
{"title":"Validation of a Flying Competence Scale for Aircraft Pilots","authors":"Harold Toring, Ranel Merino Benatiro, Nonita Legaspi, Maria Luz Cahayagan, Ronaldo Felix, Adriane Adaptar, Sylvester T. Cortes","doi":"10.1590/jatm.v14.1258","DOIUrl":"https://doi.org/10.1590/jatm.v14.1258","url":null,"abstract":"","PeriodicalId":14872,"journal":{"name":"Journal of Aerospace Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67186153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Henrique Sousa, D. de Andrade, Hugo Santana de Figueirêdo Junior
{"title":"The Transformation of Airports into Hubs and the Lessons for Fortaleza Airport","authors":"Henrique Sousa, D. de Andrade, Hugo Santana de Figueirêdo Junior","doi":"10.1590/jatm.v14.1285","DOIUrl":"https://doi.org/10.1590/jatm.v14.1285","url":null,"abstract":"","PeriodicalId":14872,"journal":{"name":"Journal of Aerospace Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67185729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Konstantinov, Yu. M. Ignatkin, P. Makeev, A. Shomov, S. O. Nikitin
{"title":"Comparative Study of Coaxial Main Rotor Aerodynamics at Forward Flight Based on Free Wake Model and Unsteady ReynoldsAveraged Navier–Stokes Method","authors":"S. Konstantinov, Yu. M. Ignatkin, P. Makeev, A. Shomov, S. O. Nikitin","doi":"10.1590/jatm.v14.1250","DOIUrl":"https://doi.org/10.1590/jatm.v14.1250","url":null,"abstract":"","PeriodicalId":14872,"journal":{"name":"Journal of Aerospace Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67185519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ramesh Kumar Rajamanickam, Rajesh Durvasulu, S. Moorthi
{"title":"Investigation on Mechanical Properties of Carbon Fiber Composite Using FEM for Leaf Spring Applications","authors":"Ramesh Kumar Rajamanickam, Rajesh Durvasulu, S. Moorthi","doi":"10.1590/jatm.v14.1244","DOIUrl":"https://doi.org/10.1590/jatm.v14.1244","url":null,"abstract":"","PeriodicalId":14872,"journal":{"name":"Journal of Aerospace Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67185342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Francisco Claudio Gomes Sampaio, R. N. Costa Filho, M. X. Guterres
{"title":"Modeling Resilience of Air Traffic Management Systems Based on Complex Networks","authors":"Francisco Claudio Gomes Sampaio, R. N. Costa Filho, M. X. Guterres","doi":"10.1590/jatm.v14.1273","DOIUrl":"https://doi.org/10.1590/jatm.v14.1273","url":null,"abstract":"","PeriodicalId":14872,"journal":{"name":"Journal of Aerospace Technology and Management","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67185820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. N. Thulasy, P. Nohuddin, I. Nusyirwan, Noorlizawati Abd Rahim, A. Amrin, S. Chua
{"title":"Skills Assessment Criteria for Aircraft Maintenance Technician in the Context of Industrial Revolution 4.0","authors":"T. N. Thulasy, P. Nohuddin, I. Nusyirwan, Noorlizawati Abd Rahim, A. Amrin, S. Chua","doi":"10.1590/jatm.v14.1286","DOIUrl":"https://doi.org/10.1590/jatm.v14.1286","url":null,"abstract":"","PeriodicalId":14872,"journal":{"name":"Journal of Aerospace Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67185744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT For the aircraft, the engine is its core component. Once the engine fails, the flight safety will be seriously affected; therefore, it is necessary to diagnose the failure in time. This paper briefly introduced three aircraft engine fault diagnosis algorithms based on support vector machine (SVM), random forest, and particle swarm optimization-back-propagation (PSO-BP) and carried out a simulation experiment on the performance of the three algorithms in MATLAB software. The results showed that the PSO-BP-based diagnosis algorithm had the highest recognition accuracy and the SVM-based diagnosis algorithm had the lowest, both for artificial fault data and real fault data. The PSO-BP-based diagnosis algorithm took the least average recognition time, and the SVM-based diagnosis algorithm took the longest time.
{"title":"Research on Comparison of Different Algorithms in Diagnosing Faults of Aircraft Engines","authors":"Liao Li","doi":"10.1590/jatm.v13.1229","DOIUrl":"https://doi.org/10.1590/jatm.v13.1229","url":null,"abstract":"ABSTRACT For the aircraft, the engine is its core component. Once the engine fails, the flight safety will be seriously affected; therefore, it is necessary to diagnose the failure in time. This paper briefly introduced three aircraft engine fault diagnosis algorithms based on support vector machine (SVM), random forest, and particle swarm optimization-back-propagation (PSO-BP) and carried out a simulation experiment on the performance of the three algorithms in MATLAB software. The results showed that the PSO-BP-based diagnosis algorithm had the highest recognition accuracy and the SVM-based diagnosis algorithm had the lowest, both for artificial fault data and real fault data. The PSO-BP-based diagnosis algorithm took the least average recognition time, and the SVM-based diagnosis algorithm took the longest time.","PeriodicalId":14872,"journal":{"name":"Journal of Aerospace Technology and Management","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42886579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lifan Sun, Jiashun Chang, Jinjin Zhang, Zhumu Fu, Jie Zou
For evaluating the cooperative combat effectiveness of unmanned aerial vehicles (UAVs), traditional entropy methods have an undue weight coefficient of the index due to its high degree of dispersion, and the interrelationship between the indices are not considered. To deal with this problem, this paper proposes a conditional entropy combination weighting method for evaluating the cooperative combat effectiveness of UAVs. Firstly, with the aim of establishing the UAV cooperative combat index system, the modified Delphi method has been combined with analytic hierarchy process (AHP) and interval estimation. This method has been used for estimating the degree of contribution of each index and to remove the indices that have a low contribution. Secondly, the principle of conditional entropy has been introduced for modifying the entropy method with the consideration of the interrelation between the indices. Finally, the modified entropy and AHP have been combined to assign the final weight in the UAV cooperative combat system. Testing results demonstrate that the index system established by this method is more comprehensive and reasonable as compared to that established by the traditional Delphi method. Compared with the single weighted method, this method is more suitable for the evaluation system of UAVs cooperative combat effectiveness.
{"title":"Evaluation of Unmanned Aerial Vehicles Cooperative Combat Effectiveness Based on Conditional Entropy Combination Weight Method","authors":"Lifan Sun, Jiashun Chang, Jinjin Zhang, Zhumu Fu, Jie Zou","doi":"10.1590/jatm.v13.1227","DOIUrl":"https://doi.org/10.1590/jatm.v13.1227","url":null,"abstract":"For evaluating the cooperative combat effectiveness of unmanned aerial vehicles (UAVs), traditional entropy methods have an undue weight coefficient of the index due to its high degree of dispersion, and the interrelationship between the indices are not considered. To deal with this problem, this paper proposes a conditional entropy combination weighting method for evaluating the cooperative combat effectiveness of UAVs. Firstly, with the aim of establishing the UAV cooperative combat index system, the modified Delphi method has been combined with analytic hierarchy process (AHP) and interval estimation. This method has been used for estimating the degree of contribution of each index and to remove the indices that have a low contribution. Secondly, the principle of conditional entropy has been introduced for modifying the entropy method with the consideration of the interrelation between the indices. Finally, the modified entropy and AHP have been combined to assign the final weight in the UAV cooperative combat system. Testing results demonstrate that the index system established by this method is more comprehensive and reasonable as compared to that established by the traditional Delphi method. Compared with the single weighted method, this method is more suitable for the evaluation system of UAVs cooperative combat effectiveness.","PeriodicalId":14872,"journal":{"name":"Journal of Aerospace Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47968213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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