Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models.
Justus ZipfelFelix VerwornerMarco FischerUwe WielandMathias KrausPatrick ZschechPublished in: Comput. Ind. Eng. (2023)
Keyphrases
- anomaly detection
- comparative evaluation
- learning models
- quality assurance
- unsupervised learning
- semi supervised learning
- quality control
- intrusion detection
- machine learning
- learning algorithm
- monitoring system
- loss function
- semi supervised
- machine learning algorithms
- supervised learning
- learning tasks
- intrusion detection system
- quality assessment
- learning problems
- software development
- classification models
- software testing
- unlabeled data
- conditional random fields
- detect anomalies
- software quality
- feature selection
- face recognition
- object recognition
- machine vision
- information systems
- text categorization