H. Raja, B. Asad, T. Vaimann, A. Kallaste, A. Rassõlkin, A. Belahcen
{"title":"Custom Simplified Machine Learning Algorithms for Fault Diagnosis in Electrical Machines","authors":"H. Raja, B. Asad, T. Vaimann, A. Kallaste, A. Rassõlkin, A. Belahcen","doi":"10.1109/Diagnostika55131.2022.9905174","DOIUrl":"https://doi.org/10.1109/Diagnostika55131.2022.9905174","url":null,"abstract":"With advancements in science, machine learning and artificial intelligence integration with different fields have opened up new horizons. In this paper, some simplified custom machine learning algorithms are defined to train different faults for electrical machines. The industry has been moving towards predictive maintenance of machines rather than scheduled maintenance with the new industry 4.0 revolution. It has also paved the way for researchers to explore more in machine learning and have specific machine learning training algorithms catered to diagnose faults in electrical machines. Here, three different variations of a simplified machine learning algorithm are present for the training of faults of electrical machines. A comparison of the results is presented at the end, along with further studies carried out in this area.","PeriodicalId":374245,"journal":{"name":"2022 International Conference on Diagnostics in Electrical Engineering (Diagnostika)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129281840","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}
{"title":"The effects of the corona wire distribution with triangular collecting plates on the characteristics of electrostatic precipitators","authors":"Mo’ath Bani Fayyad, A. A. González, T. Iváncsy","doi":"10.1109/Diagnostika55131.2022.9905103","DOIUrl":"https://doi.org/10.1109/Diagnostika55131.2022.9905103","url":null,"abstract":"Electrostatic precipitators (ESPs) have evolved into one of the most primary technologies for eliminating hazardous particles from various industries. Because of the inherent advantages that come with the use of an ESP, much ongoing research in this subject is constantly improving. To enhance the performance of ESPs, several designs of collecting and discharge electrodes must be investigated. Many researchers are working on strengthening current models in a variety of ways. This research aims to examine the effects of corona wire distribution with triangular collecting plates on the properties of electrostatic precipitators. Six different types of ESPs were modeled. The triangular type results were compared to the flat plates (FPs) to evaluate the effect of corona discharge electrode distribution at different wire-wire distances on the electrical field distribution and space charge density distribution, and particle collection efficiency. The usage of the triangular type also enhances particle collecting efficiency when is compared to FPs","PeriodicalId":374245,"journal":{"name":"2022 International Conference on Diagnostics in Electrical Engineering (Diagnostika)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125861748","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}