{"title":"莫斯科地铁电气化列车轮对耐久性指标计算与分析","authors":"A. A. Vorobyov, D. Shutov, M. V. Nikolashin","doi":"10.20291/2079-0392-2021-4-26-34","DOIUrl":null,"url":null,"abstract":"During the analysis, the data obtained from the wheelset registers stored at production and technical departments of the electric depot and kept by engineers-technologists in wheel economy were considered and analyzed. To analyze the data, methodology for calculating durability indicators was used. On the basis of the analysis, the dependences on the operating time of the average value and standard deviation, the resource distribution function and the wheel diameter distribution density function are constructed. These units have the greatest impact on the safety of train traffic and therefore it is extremely important to constantly assess the condition of these components. The knowledge of these data contributes to improvement of repair technology and correct organization of the planned preventive repair system. Such a study makes it possible to improve the safety of the transportation process by carefully monitoring the most vulnerable spots of the rolling stock. This reveals the prefailure condition before its occurrence. The results of the study can be used as the basis for adjusting the current structure of the repair cycle in terms of changing the repair runs. Having the idea of changes in the stock of parts or components, it is possible to identify in advance possible problems associated with operation of the rolling stock, to provide the necessary stock of parts and equipment necessary for the upcoming scheduled repairs [1].","PeriodicalId":118708,"journal":{"name":"Herald of the Ural State University of Railway Transport","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Calculation and analysis of wheel sets durability indicators of Moscow metro electric trains\",\"authors\":\"A. A. Vorobyov, D. Shutov, M. V. Nikolashin\",\"doi\":\"10.20291/2079-0392-2021-4-26-34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During the analysis, the data obtained from the wheelset registers stored at production and technical departments of the electric depot and kept by engineers-technologists in wheel economy were considered and analyzed. To analyze the data, methodology for calculating durability indicators was used. On the basis of the analysis, the dependences on the operating time of the average value and standard deviation, the resource distribution function and the wheel diameter distribution density function are constructed. These units have the greatest impact on the safety of train traffic and therefore it is extremely important to constantly assess the condition of these components. The knowledge of these data contributes to improvement of repair technology and correct organization of the planned preventive repair system. Such a study makes it possible to improve the safety of the transportation process by carefully monitoring the most vulnerable spots of the rolling stock. This reveals the prefailure condition before its occurrence. The results of the study can be used as the basis for adjusting the current structure of the repair cycle in terms of changing the repair runs. Having the idea of changes in the stock of parts or components, it is possible to identify in advance possible problems associated with operation of the rolling stock, to provide the necessary stock of parts and equipment necessary for the upcoming scheduled repairs [1].\",\"PeriodicalId\":118708,\"journal\":{\"name\":\"Herald of the Ural State University of Railway Transport\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Herald of the Ural State University of Railway Transport\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20291/2079-0392-2021-4-26-34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Herald of the Ural State University of Railway Transport","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20291/2079-0392-2021-4-26-34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calculation and analysis of wheel sets durability indicators of Moscow metro electric trains
During the analysis, the data obtained from the wheelset registers stored at production and technical departments of the electric depot and kept by engineers-technologists in wheel economy were considered and analyzed. To analyze the data, methodology for calculating durability indicators was used. On the basis of the analysis, the dependences on the operating time of the average value and standard deviation, the resource distribution function and the wheel diameter distribution density function are constructed. These units have the greatest impact on the safety of train traffic and therefore it is extremely important to constantly assess the condition of these components. The knowledge of these data contributes to improvement of repair technology and correct organization of the planned preventive repair system. Such a study makes it possible to improve the safety of the transportation process by carefully monitoring the most vulnerable spots of the rolling stock. This reveals the prefailure condition before its occurrence. The results of the study can be used as the basis for adjusting the current structure of the repair cycle in terms of changing the repair runs. Having the idea of changes in the stock of parts or components, it is possible to identify in advance possible problems associated with operation of the rolling stock, to provide the necessary stock of parts and equipment necessary for the upcoming scheduled repairs [1].