Automated fault detection for additive manufacturing using vibration sensors.
Roberto Milton ScheffelAntônio Augusto FröhlichMarco SilvestriPublished in: Int. J. Comput. Integr. Manuf. (2021)
Keyphrases
- fault detection
- fault diagnosis
- fault identification
- industrial processes
- vibration signal
- fault detection and diagnosis
- condition monitoring
- real time
- fuel cell
- sensor networks
- tennessee eastman
- fault localization
- expert systems
- robust fault detection
- neural network
- failure detection
- quality control
- power plant
- fuzzy logic
- human operators
- fault isolation
- manufacturing systems
- closed loop
- constraint satisfaction
- heuristic search
- chemical process
- fault detection and isolation
- knowledge discovery
- decision making
- machine learning
- data mining