Assembly Line Anomaly Detection and Root Cause Analysis Using Machine Learning

Assembly Line Anomaly Detection and Root Cause Analysis Using Machine Learning

Anomaly detection is becoming widely used in Manufacturing Industry to enhance product quality. At the same time, it plays a great role in several other domains due to the fact that anomaly may reveal rare but represent an important phenomenon. The objective of this paper is to detect anomalies and...

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Bibliographic Details
Main Authors: Osama Abdelrahman, Pantea Keikhosrokiani
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anomaly detection
assembly lines
big data
machine learning
manufacturing industries
root cause analysis
Online Access:https://ieeexplore.ieee.org/document/9218922/

Internet

https://ieeexplore.ieee.org/document/9218922/

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