Manufacturing environments face many unique challenges in regards to balancing high standards of both product quality and production efficiency. Proper diagnostic health assessment is essential for maximizing uptime and maintaining product and process quality. Information for diagnostic assessments, and reliability information in general, can come from a myriad of sources that can be processed and managed through numerous algorithms that range from simplistic to hyper complex. One area that typifies the assortment of information sources in a modern manufacturing setting is found with the use of industrial robotics and automated manipulators. Although several monitoring methods and technologies have been previously proposed for this and other assets, adoption has been sporadic with returns on investment not always meeting expectations. Practical concerns regarding data limitations, variability of setup, and scarcity of ground truth points of validation from active industrial sites have contributed to this. This paper seeks to provide an overview of barriers and offer a feasible action plan for developing a practical condition monitoring information utilization program, matching available capabilities and assets to maximize knowledge gain. Observations are made on real world case study involving industrial six Degree of Freedom (DOF) robots actively deployed in a manufacturing facility with a variety of operational tasks.

中文翻译：

---

在生产环境中开发可靠性信息的观察与案例研究：机械手臂。

在平衡产品质量和生产效率的高标准方面，制造环境面临许多独特的挑战。正确的诊断健康评估对于最大化正常运行时间以及维持产品和过程质量至关重要。用于诊断评估的信息以及通常的可靠性信息可以来自多种来源，这些来源可以通过从简单到复杂的多种算法进行处理和管理。通过使用工业机器人和自动操纵器，可以找到一个在现代制造环境中代表各种信息源的区域。尽管先前已针对此资产和其他资产提出了几种监视方法和技术，但采用这种方法的情况很少，投资回报率并不总是符合预期。有关数据限制，设置的可变性以及从活跃的工业现场进行验证的地面真实性验证点稀缺性的实际担忧促使了这一点。本文旨在概述障碍，并提供可行的行动计划，以开发实际状况监控信息利用程序，匹配可用功能和资产以最大程度地获取知识。我们对涉及工业六自由度（DOF）机器人的现实世界案例进行了观察，这些机器人积极地部署在具有各种操作任务的制造工厂中。本文旨在概述障碍，并提供可行的行动计划，以开发实际状况监控信息利用程序，匹配可用功能和资产以最大程度地获取知识。我们对涉及工业六自由度（DOF）机器人的现实世界案例进行了观察，这些机器人积极地部署在具有各种操作任务的制造工厂中。本文旨在概述障碍，并提供可行的行动计划，以开发实际状况监控信息利用程序，匹配可用功能和资产以最大程度地获取知识。我们对涉及工业六自由度（DOF）机器人的现实世界案例进行了观察，这些机器人积极地部署在具有各种操作任务的制造工厂中。