Pub Date : 2023-05-30DOI: 10.1007/s42417-023-01004-5
Daolu Li, Ying Xie, Wei Cai, Peng Chen
{"title":"Analysis of Radial Electromagnetic Force and Vibration Characteristics of Permanent-Magnet-Based Synchronous Motor for Vibration Management","authors":"Daolu Li, Ying Xie, Wei Cai, Peng Chen","doi":"10.1007/s42417-023-01004-5","DOIUrl":"https://doi.org/10.1007/s42417-023-01004-5","url":null,"abstract":"","PeriodicalId":101320,"journal":{"name":"Journal of Vibration Engineering & Technologies","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135642740","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}
Pub Date : 2023-05-27DOI: 10.1007/s42417-023-00959-9
Bagus Tris Atmaja, Haris Ihsannur, None Suyanto, Dhany Arifianto
The monitoring of machine conditions in a plant is crucial for production in manufacturing. A sudden failure of a machine can stop production and cause a loss of revenue. The vibration signal of a machine is a good indicator of its condition. This paper presents a dataset of vibration signals from a lab-scale machine. The dataset contains four different types of machine conditions: normal, unbalance, misalignment, and bearing fault. Three machine learning methods (SVM, KNN, and GNB) evaluated the dataset, and a perfect result was obtained by one of the methods on a onefold test. The performance of the algorithms is evaluated using weighted accuracy (WA), since the data are balanced. The results show that the best-performing algorithm is the SVM with a WA of 99.75% on the fivefold cross-validations. The dataset is provided in the form of CSV files in an open and free repository at https://zenodo.org/record/7006575 .
{"title":"Lab-Scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning","authors":"Bagus Tris Atmaja, Haris Ihsannur, None Suyanto, Dhany Arifianto","doi":"10.1007/s42417-023-00959-9","DOIUrl":"https://doi.org/10.1007/s42417-023-00959-9","url":null,"abstract":"The monitoring of machine conditions in a plant is crucial for production in manufacturing. A sudden failure of a machine can stop production and cause a loss of revenue. The vibration signal of a machine is a good indicator of its condition. This paper presents a dataset of vibration signals from a lab-scale machine. The dataset contains four different types of machine conditions: normal, unbalance, misalignment, and bearing fault. Three machine learning methods (SVM, KNN, and GNB) evaluated the dataset, and a perfect result was obtained by one of the methods on a onefold test. The performance of the algorithms is evaluated using weighted accuracy (WA), since the data are balanced. The results show that the best-performing algorithm is the SVM with a WA of 99.75% on the fivefold cross-validations. The dataset is provided in the form of CSV files in an open and free repository at https://zenodo.org/record/7006575 .","PeriodicalId":101320,"journal":{"name":"Journal of Vibration Engineering & Technologies","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135946477","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}
Pub Date : 2023-02-03DOI: 10.1007/s42417-023-00876-x
Abduladheem Turki Jalil, Noor Karim, Ali Abdul Kadhim Ruhaima, Jameel Mohammed Ameen Sulaiman, Asaad Shakir Hameed, Ahmed S. Abed, Waleed Mohammed Khazaal, Salema K. Hadrawi, Yassine Riadi
{"title":"Analytical Model for Thermoelastic Damping in In-Plane Vibrations of Circular Cross-Sectional Micro/Nanorings with Dual-Phase-Lag Heat Conduction","authors":"Abduladheem Turki Jalil, Noor Karim, Ali Abdul Kadhim Ruhaima, Jameel Mohammed Ameen Sulaiman, Asaad Shakir Hameed, Ahmed S. Abed, Waleed Mohammed Khazaal, Salema K. Hadrawi, Yassine Riadi","doi":"10.1007/s42417-023-00876-x","DOIUrl":"https://doi.org/10.1007/s42417-023-00876-x","url":null,"abstract":"","PeriodicalId":101320,"journal":{"name":"Journal of Vibration Engineering & Technologies","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135156020","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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