An anomalous sound detection methodology for predictive maintenance.
Emanuele Di FioreAntonino FerraroAntonio GalliVincenzo MoscatoGiancarlo SperlìPublished in: Expert Syst. Appl. (2022)
Keyphrases
- anomaly detection
- automatic detection
- detecting anomalous
- object detection
- detection algorithm
- detection accuracy
- false positives
- data sets
- oil spill
- software maintenance
- false alarms
- detection method
- multi agent systems
- information retrieval
- scheduling problem
- expert systems
- object recognition
- event detection
- neural network
- image segmentation
- decision trees
- predictive model
- image processing
- artificial intelligence