As systems in smart manufacturing become increasingly complex, producing an abundance of data, the potential for production failures becomes increasingly more likely. There arises the need to minimize or eradicate production failures, one of which is by means of anomaly detection. However, with the deployment of anomaly detection systems, there are many aspects to be considered. In this work, an overview of the components, benefits, challenges, methods, and open problems of anomaly detection in smart manufacturing and robotic finishing systems are discussed.
翻译:随着智能制造系统日益复杂,产生大量数据,生产失败的可能性日益增大,需要尽量减少或消除生产失败,其中之一是发现异常现象,然而,随着异常现象探测系统的部署,还有许多方面需要考虑,在这项工作中,讨论了智能制造和机器人处理系统中发现异常现象的构成部分、效益、挑战、方法和公开问题。