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GOALI: Reliability Enhancement of Electric Drive Systems through Failure Prognosis and Fault Mitigation

GOALI: Reliability Enhancement of Electric Drive Systems through Failure Prognosis and Fault Mitigation
目标:通过故障预测和故障缓解增强电力驱动系统的可靠性
批准号:
1102316
负责人:
Elias Strangas
金额:
$40.02万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-08-15 至 2016-07-31

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中文摘要
翻译
研究目标和方法:本研究的目标是开发一种系统的故障缓解方法,以提高电气传动的可靠性。该方法是使用数据驱动和基于模型的故障诊断和预测算法来确定部件和子系统的剩余使用寿命,并利用这些信息进行准确和及时的故障缓解,以提高系统的可靠性。智力优势:本研究的智力价值在于开发了信号处理和模式识别算法,用于从传感器测量数据中提取紧凑和区分的故障特征,训练和开发使用这些特征的随机预测模型,并开发包含该模型的电气驱动的精度模型。广泛影响:本研究中开发的方法将对采用冗余的电机、电力电子和控制器的设计产生更广泛的影响。这项研究将对美国汽车业产生巨大影响,因为它将转向可靠性压倒一切的混合动力和电动汽车。拟议项目的结果将以高级顶班设计问题和关于内置驱动冗余和可靠性的教学模块的形式纳入课程,以培训能够在混合动力汽车和电动汽车方面工作的下一代工程师。工业界与密歇根州立大学的合作将为研究生提供暑期实习机会,并为PI提供一个与汽车工程界分享他们的发现的论坛。
英文摘要
Research Objectives and Approaches:The objective of this research is to develop a systematic approach to fault mitigation for improving the reliability of electrical drives. The approach is to use data-driven and model-based fault diagnosis and prognosis algorithms to determine the remaining useful life of components and subsystems and touse this information for accurate and timely failure mitigation for increased systemreliability.Intellectual Merit:The intellectual merit of this research is the development of signal processing and pattern recognition algorithms for compact and discriminative fault signature extraction from sensor measurements, the training and development of a stochastic prognosis model using these signatures and the development of accuratereliability models for electric drives incorporating this model.Broader Impacts:The methodologies developed in this research will have a broader impact on the design of electrical machines, power electronics and controllers that employ redundancies. This research will have a great effect on the US automotive industry as it migrates to hybrid and electric vehicles where reliability is an overriding concern. The results of the proposed project will be integrated into the curriculum in the form of design problems for the senior capstone class and teaching modules on built-in redundancies of drives and reliability to train the next generation of engineers who can work on hybrid and electric vehicles. The collaboration between industry and Michigan State University will offer summer internship opportunities for graduate students as well as providing a forum for the PIs to share their findings with the automotive engineering community.
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Development of an Electrical Machines and Drives Laboratory
  • 批准号:
    8852356
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.76万
  • 财政年份:
    1988
  • 负责人:
    Elias Strangas
  • 依托单位:
Workshop on Electrical Machines and Drives September 7-8, 1988 at East Lansing, MI (Michigan State University - Campus)
  • 批准号:
    8817432
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.93万
  • 财政年份:
    1988
  • 负责人:
    Elias Strangas
  • 依托单位:
Supercomputer Initiation: Finite Element Methods in Electrical Machinery
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