Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review

TL;DR

This paper reviews anomaly detection techniques in smart manufacturing, focusing on robotic finishing systems, discussing components, benefits, challenges, and open problems to improve failure prevention.

Contribution

It provides a comprehensive overview of anomaly detection methods and challenges specific to smart manufacturing and robotic finishing systems.

Findings

Identifies key components and benefits of anomaly detection.

Highlights challenges and open problems in deployment.

Discusses various methods used in anomaly detection.

Abstract

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.