Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective

Over the past decades, control charts, one of essential tools in Statistical Process Control (SPC), have been widely implemented manufacturing industries as an effective approach for Anomaly Detection (AD). Thanks to development technologies like Internet Things (IoT) and Artificial Intelligence (AI), Smart Manufacturing (SM) has become important concept expressing end goal digitization manufacturing. However, SM requires a more automatic procedure with capabilities deal huge data from continuous simultaneous process. Hence, traditional charts SPC now find difficulties reality activities including designing, pattern recognition, interpreting stages. Machine Learning (ML) algorithms emerged powerful analytic great assistance that can be integrating solve these issues. Therefore, purpose this chapter is first presents survey on applications ML techniques stages respectively especially context AD. Second, challenges areas are discussed. Third, perspectives techniques-based AD proposed. Finally, case study ML-based chart bearing failure also provided chapter.