International Collaborative Project on Informatics Platform for Prognostics and Maintenance Optimization

NSF行业/大学智能维护系统合作研究中心(IMS)与加拿大多伦多大学基于状态的维护实验室开发了一个联合合作项目，以改进预测工具，以增强智能维护系统中心的研究能力。这一国际项目将通过集成智能预测代理、混合比例风险模型和时间依赖马尔科夫链来开发预测和维护优化的协同信息学平台，以提高预测维护系统的有效性。这一整合将进一步增强预测能力，以实现IMS中心近零停机性能的愿景。这一联合项目的结果将在多伦多大学智能维护系统中心和状态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.