International Collaborative Project on Informatics Platform for Prognostics and Maintenance Optimization

美国国家科学基金会工业/大学智能维护系统合作研究中心（IMS）与加拿大多伦多大学的基于状态的维护实验室开发了一个联合合作项目，以推进自动化工具，增强智能维护系统中心的研究能力。 该国际项目将开发一个预测和维护优化的协同信息平台，通过集成智能预测代理和混合比例风险模型和时间依赖马尔可夫链，以提高预测维护系统的有效性。 这一整合将进一步增强IMS中心的自动化能力，以实现IMS中心近乎零停机的愿景。这一联合项目的成果将在多伦多大学智能维护系统中心和基于状态的维护实验室的公司成员之间共享。

The NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems (IMS) has developed a joint collaborative project with the Condition Based maintenance Labs of University of Toronto in Canada to advance the prognostics tools to augment the research capabilities at the Intelligent Maintenance Systems Center. This international project will develop a Collaborative Informatics Platform for Prognostics and maintenance Optimization by integrating smart prognostics agent and hybrid Proportional Hazard Model and Time Depended Markov Chain to enhance the effectiveness of the predictive maintenance system. This integration will further enhance the prognostics capabilities to achieve the vision of near-zero-downtime performance of the IMS Center.The results of this joint project will be shared among the company members of both the Center on Intelligent Maintenance Systems and the Condition Based Maintenance Labs of the University of Toronto.