Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review
It provides a domain-specific overview for researchers and practitioners in smart manufacturing, but it is incremental as it reviews existing knowledge without new results.
This paper reviews anomaly detection in smart manufacturing, focusing on robotic finishing systems, to address production failures by discussing components, benefits, challenges, methods, and open problems.
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 paper, an overview of the components, benefits, challenges, methods, and open problems of anomaly detection in smart manufacturing and robotic finishing systems are discussed.