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Field Data based Predictive Maintenance and Enhanced Track Design Procedure

Field Data based Predictive Maintenance and Enhanced Track Design Procedure
基于现场数据的预测性维护和增强的轨道设计程序
批准号:
LP200200915
负责人:
Prof Buddhima Indraratna
金额:
$50.18万
依托单位国家:
澳大利亚
项目类别:
Linkage Projects
财政年份:
2021
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2021-09-04 至 2024-09-03

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中文摘要
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英文摘要
Providing improved railroad design and maintenance solutions with accurate and timely assessment of track performance is vital to reduce the disruption of services, excessive maintenance costs and degradation over time. This project aims to develop a predictive maintenance model based on extensive wayside measurements to monitor and predict the nature of track instability. This will also be supplemented by mathematical modelling to corroborate large-scale laboratory observations with past and real-time field monitoring records. This project will deliver tangible strategies and tools to increase track longevity and assist decision-makers in planning and prioritising corrective maintenance to ensure improved safety and passenger comfort.
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国内基金
海外基金
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