ARC Training Centre for Transforming Maintenance through Data Science

ARC通过数据科学改造维护培训中心旨在为执业工程师和澳大利亚毕业生提供维护行业的下一代数据科学方法。该中心计划通过开发数据密集型数学和计算算法，进行资产管理和故障预测，采用及时和具有成本效益的维修时间安排。该中心的总体目标是促进开发和采用新的做法，以提高工业生产力和资产可靠性，并为国家和国际市场培育一个新的维修技术服务部门。

The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.