Condition-Based Maintenance Optimisation for Queensland’s Railways

昆士兰铁路基于状态的维护优化

• 批准号: LP200100382
• 负责人: A/Prof Michael Cholette
• 金额: $ 20.92万
• 依托单位: Queensland University of Technology
• 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
• 起止时间: 2021-06-09 至 2024-06-08
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP200100382
• 关键词: Condition; Based; Maintenance; Optimisation; Queensland

Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities for frequent, low-cost track monitoring; 3) novel inspection and maintenance optimisation methods to efficiently allocate resources. The knowledge generated by this project is expected to decrease maintenance costs, safety risk, and track closures and therefore enhance the affordability and reliability of rail travel.

铁路维修员目前使用基于时间的(计划的)方法来平衡检查和维护的成本和收益。改用状态检修有可能降低成本，改善轨道状况。该项目旨在通过开发：1)结合大数据和工程知识的新的轨道退化预测技术；2)用于频繁、低成本的轨道监控的新的车载传感能力；3)有效分配资源的新的检查和维护优化方法，从而使这种方法适用于铁路。该项目产生的知识预计将降低维护成本、安全风险和轨道关闭，从而提高铁路旅行的可负担性和可靠性。