DiagnostykaPub Date : 2024-02-05DOI: 10.29354/diag/178192
Holger Jorge Santillan, Roosevelt Barzola
{"title":"Improving voltage stability in subtransmission through pv curves and critical voltage balance for photovoltaic compensation","authors":"Holger Jorge Santillan, Roosevelt Barzola","doi":"10.29354/diag/178192","DOIUrl":"https://doi.org/10.29354/diag/178192","url":null,"abstract":"","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"24 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139803305","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}
DiagnostykaPub Date : 2024-02-05DOI: 10.29354/diag/178192
Holger Jorge Santillan, Roosevelt Barzola
{"title":"Improving voltage stability in subtransmission through pv curves and critical voltage balance for photovoltaic compensation","authors":"Holger Jorge Santillan, Roosevelt Barzola","doi":"10.29354/diag/178192","DOIUrl":"https://doi.org/10.29354/diag/178192","url":null,"abstract":"","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"47 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139863163","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}
DiagnostykaPub Date : 2024-01-28DOI: 10.29354/diag/181192
Behim Meriem, Merabet Leila, Saad Salah
{"title":"Time - frequency method and artificial neural network classifier for induction motor drive system defects classification","authors":"Behim Meriem, Merabet Leila, Saad Salah","doi":"10.29354/diag/181192","DOIUrl":"https://doi.org/10.29354/diag/181192","url":null,"abstract":"","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"12 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592144","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}
DiagnostykaPub Date : 2024-01-25DOI: 10.29354/diag/180309
O. Gubarevych, Inna Melkonova, Hryhorii Melkonov, Olha Melnyk, M. Miroshnykova
{"title":"Synthesis of the structural diagram with algorithms of the units of the on-board diagnostic system of induction motors of vehicles","authors":"O. Gubarevych, Inna Melkonova, Hryhorii Melkonov, Olha Melnyk, M. Miroshnykova","doi":"10.29354/diag/180309","DOIUrl":"https://doi.org/10.29354/diag/180309","url":null,"abstract":"In this comprehensive study, the concept and structural diagram of the system for diagnostics of induction electric motors of vehicles with the development of algorithms for the operation of modular units for monitoring the state of the main structural elements are proposed. During the development of the diagnostic system, the peculiarities of the construction of diagnostic systems of rotating electric machines were investigated in the real conditions of their operation, and modern methods of current and vibration diagnostics were implemented. The work algorithms of each module are presented in the functional diagram of the general diagnostic system of and cover important defects of induction motors. The diagnostic system combines methods that use different diagnostic principles and criteria and are adapted for use in an embedded diagnostic system. The developed functional diagram of the diagnostic system can be used for practical implementation in physical form. The use of the proposed diagnostic system will make it possible to obtain continuous information about the state of both electrical and mechanical components of the induction motor when operating under load with a poor-quality power system in real operating conditions.","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"26 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139596466","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}
DiagnostykaPub Date : 2024-01-21DOI: 10.29354/diag/181190
B. Nail, Djaidir Benrabeh, Imad Eddine Tibermacne, C. Napoli, Haidour Nabil, Rabehi Abdelaziz
{"title":"Gas turbine vibration monitoring based on real data using neuro-fuzzy system","authors":"B. Nail, Djaidir Benrabeh, Imad Eddine Tibermacne, C. Napoli, Haidour Nabil, Rabehi Abdelaziz","doi":"10.29354/diag/181190","DOIUrl":"https://doi.org/10.29354/diag/181190","url":null,"abstract":"The gas turbine is considered to be a very complex piece of machinery because of both its static structure and the dynamic behavior that results from the occurrence of vibration phenomena. It is required to adopt monitoring and diagnostic procedures for the identification and localization of vibration flaws in order to ensure the appropriate operation of large rotating equipment such as gas turbines. This is necessary in order to avoid catastrophic failures and deterioration and to ensure that proper operation occurs. Utilizing an approach that is based on spectrum analysis, the purpose of this study is to provide a model for the monitoring and diagnosis of vibrations in a GE MS3002 gas turbine and its driven centrifugal compressor. This will be done by utilizing the technique. Following that, the collection of vibration measurements for a model of the centrifugal compressor served as a suggestion for an additional method. This method is based on the neuro-fuzzy approach type ANFIS, and it aims to create an equivalent system that is able to make decisions without consulting a human being for the purpose of detecting vibratory defects. In spite of the fact that the compressor that was investigated has flaws, this procedure produced satisfactory results.","PeriodicalId":504729,"journal":{"name":"Diagnostyka","volume":"19 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139610221","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}