基于生命周期建模和大数据概念的复杂技术系统疲劳试验优化

2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2016-10-01 DOI:10.1109/ICAICT.2016.7991656

N. Kondratyeva, S. Valeev

{"title":"基于生命周期建模和大数据概念的复杂技术系统疲劳试验优化","authors":"N. Kondratyeva, S. Valeev","doi":"10.1109/ICAICT.2016.7991656","DOIUrl":null,"url":null,"abstract":"Increasing efficiency of fatigue testing complex technical systems (for example, aircraft engine) is possible with its technical and economic assessment on base of relationship with the economic effect from the system operation. The amount of data is received during the engine life cycle. It should be properly processed to build the lifecycle model. Big Data concept can be suggested as an effective tool for storing and analyzing the life cycle information.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Fatigue test optimization for complex technical system on the basis of lifecycle modeling and big data concept\",\"authors\":\"N. Kondratyeva, S. Valeev\",\"doi\":\"10.1109/ICAICT.2016.7991656\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Increasing efficiency of fatigue testing complex technical systems (for example, aircraft engine) is possible with its technical and economic assessment on base of relationship with the economic effect from the system operation. The amount of data is received during the engine life cycle. It should be properly processed to build the lifecycle model. Big Data concept can be suggested as an effective tool for storing and analyzing the life cycle information.\",\"PeriodicalId\":446472,\"journal\":{\"name\":\"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2016.7991656\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2016.7991656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 9

摘要

通过对复杂技术系统(如航空发动机)疲劳试验的技术经济评价，结合系统运行的经济效果，提高疲劳试验的效率。在发动机生命周期内接收的数据量。应该对其进行适当处理，以构建生命周期模型。大数据概念可以作为存储和分析生命周期信息的有效工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Fatigue test optimization for complex technical system on the basis of lifecycle modeling and big data concept

Increasing efficiency of fatigue testing complex technical systems (for example, aircraft engine) is possible with its technical and economic assessment on base of relationship with the economic effect from the system operation. The amount of data is received during the engine life cycle. It should be properly processed to build the lifecycle model. Big Data concept can be suggested as an effective tool for storing and analyzing the life cycle information.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)

自引率

0.00%

发文量