Fault Diagnosis of Delta 3D Printers Using Transfer Support Vector Machine With Attitude Signals.
Jianwen GuoJiapeng WuZhengzhong SunJianyu LongShaohui ZhangPublished in: IEEE Access (2019)
Keyphrases
- fault diagnosis
- support vector machine
- neural network
- fault detection
- expert systems
- vibration signal
- rbf neural network
- bp neural network
- fuzzy logic
- monitoring and fault diagnosis
- fault detection and diagnosis
- gas turbine
- operating conditions
- support vector
- fault identification
- chemical process
- power transformers
- analog circuits
- feature selection
- condition monitoring
- training set
- support vector machine svm
- electrical power systems
- power plant
- electronic equipment
- tennessee eastman
- training data
- fault tree
- computational intelligence
- industrial systems
- multiple faults
- feature vectors
- rotating machinery
- multi sensor information fusion
- soft computing methods
- support vector regression
- machine learning
- fault detection and isolation
- failure diagnosis
- industrial applications
- complex systems
- feature space
- decision making
- genetic algorithm