Condition-Based Maintenance Optimisation for Queensland’s Railways

铁路维护人员目前使用基于时间（计划）的方法来平衡检查和维护的成本和收益。转向基于状态的维护有可能降低成本并改善轨道状况。该项目旨在通过开发以下方法为铁路提供这种方法：1）结合大数据和工程知识的新轨道退化预测技术; 2）用于频繁，低成本轨道监测的新车载传感功能; 3）有效分配资源的新型检查和维护优化方法。该项目产生的知识预计将减少维护成本，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。

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.