Advanced condition monitoring of electric machinery
Advanced condition monitoring of electric machinery
批准号:
2509242
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2020
资助国家:
英国
项目状态:
未结题
起止时间:
2020 至 --
中文摘要
汽车、航空航天、海上风电和制造业正在寻找性能更高的电机和驱动器,以支持市场电气化的宏伟计划。除了改进的设计之外,所需解决方案的很大一部分将通过应用改进的传感、监测和控制管理技术来实现-在变速机/驱动系统中,这些技术可以促进对工作点附近设计极限的更好理解,并开发用于适当工作点管理的高级例程,以提供更高的性能。为了实现这些目标,需要对关键运行参数进行更好的监测。本项目将通过探索诊断数据分析的新模式,以瞬态运行条件下的诊断为重点,改进电机状态监测技术的现状。该项目将开发一种能够进行故障模拟的永磁电动机驱动器的先进模型,并利用该模型研究瞬态工况诊断技术的开发和提取。还将设计用于实验研究和模型验证的测试系统。该研究主要与EPSRC电机和驱动器/电磁产品组合保持一致。
英文摘要
The automotive, aerospace, offshore wind and manufacturing sectors are looking for much improved performance envelope electrical machines and drives to underpin ambitions plans for market electrification. In addition to improved design, a large part of the required solution will be enabled by the application of improved sensing, monitoring and control management techniques - in variable speed machine/drive systems these could facilitate a much improved understanding of the vicinity of operating points to design limits, and development of advanced routines for appropriate operating point management to deliver increased performance. To achieve these greatly improved monitoring of key operational parameters is required.This project will look at improving the current state of condition monitoring techniques for electric machines with a focus on diagnosis in transient operating conditions, through exploring new modes of diagnostic data analysis. The project will develop an advanced model of a permanent magnet motor drive capable of fault emulation and utilize it for research on development and extraction of diagnostic techniques for transient operating condition. A test system will also be devised to be used for experimental research and model validation.The research aligns primarily with the EPSRC electrical motors and drives/electromagnetics portfolio.
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国内基金
海外基金
关于铁磁链方程组的解的部分正则性的研究
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批准号:10926050
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项目类别:数学天元基金项目
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资助金额:3.0万元
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批准年份:2009
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负责人:曾明
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依托单位: