Open-Access AI Platform for IoT Condition Monitoring

工业轴承和动力传动部件分销商是需要与工业机器维护和改造相关的部件和服务的工业客户的直接联系人，或者在机器发生故障时的紧急情况下。他们的经验提供了宝贵的洞察力，确保了机器的正常运行时间，并为他们的工业客户提供了最大的利润。然而，这些经销商所依赖的传统服务模式正迅速被新技术颠覆。智能机器状态监控技术即将彻底改变维护工程师确保设备正常运行的方式。不幸的是，这项技术目前掌握在优质服务提供商手中，目前只适用于最大的公司。通用轴承服务公司(GBS)与渥太华大学高级动态设计实验室(ADTL)合作，打算将机器状态监控方面的最新进展带给依赖GBS的加拿大中小型企业(SME)，以帮助他们确保一致和可预测的生产现金流。为此，GBS打算向客户提供基于人工智能的机器状态监控系统，并提供维护合同，以保证正常运行时间和提高流程效率。为了实现这一目标，GBS将与ADDL密切合作，创建一个云数据库，其中包含来自行业的物联网多传感器数据，其中包含使用数据融合方案捕获的机器故障数据，并开发和改进用于机器健康预测的计算高效的深度机器学习算法。这一合作伙伴关系将为GBS提供所需的技术资源和专业知识，以实现其行业现代化，并提供其客户保持竞争力所需的急需的增值服务。这一合作关系还将为ADDL提供对该行业的深入洞察，以推进该研究领域的研究，测试创新解决方案，并培训高素质的人员。

Industrial bearing and power transmission component distributors are the direct contact of industrial clients in need of components and services related to industrial machine maintenance and retrofit, or in emergencies when machine breakdowns occur. Their experience provides invaluable insight that ensures machine uptime and maximum profit for their industrial clients. However, the traditional service model that these distributors have relied on is quickly being upended by new technologies. Intelligent machine condition monitoring technology is on the cusp of revolutionizing the way maintenance engineers ensure the uptime of their equipment. Unfortunately, this technology currently resides in the hands of premium service providers and is currently only viable for the largest of companies.General Bearing Service (GBS), in partnership with the Advanced Dynamics Design Lab (ADDL) at the University of Ottawa, intends to bring the latest advances in machine condition monitoring to Canadian small and mid-size enterprises (SMEs) that rely on GBS to help them ensure a consistent and predictable production cash flow. To do so, GBS intends to offer AI-based machine condition monitoring systems to clients and provide maintenance contracts that guarantee uptime and improved process efficiency. To achieve this, GBS will work closely with the ADDL to create a cloud database populated with IoT multi-sensor data from industry containing machine fault data captured using a data fusion schema, as well as develop and improve computationally efficient deep machine learning algorithms for machine health prognostics.This partnership will provide GBS the required technological resources and expertise to modernize their industry and provide the much-needed value-added services required by their clients to remain competitive. This partnership will also provide the ADDL with in-depth insight into the industry required to advance research in this field of study, test innovative solutions, and train highly qualified personnel.