A Real-Time Bearing Fault Diagnosis Model Based on Siamese Convolutional Autoencoder in Industrial Internet of Things.
He-Xuan HuChengcheng CaoQiang HuYe ZhangZhen-Zhou LinPublished in: IEEE Internet Things J. (2024)
Keyphrases
- fault diagnosis
- fault diagnostic
- monitoring and fault diagnosis
- real time
- industrial systems
- gas turbine
- chemical process
- expert systems
- neural network
- fault detection and diagnosis
- power transformers
- fault detection
- fuzzy logic
- analog circuits
- electronic equipment
- operating conditions
- bp neural network
- condition monitoring
- industrial applications
- multiple faults
- restricted boltzmann machine
- rbf neural network
- rotating machinery
- electrical power systems
- fault tree
- industrial processes
- quality improvement
- artificial neural networks
- power plant
- complex systems
- computational intelligence
- tennessee eastman
- knowledge base
- learning algorithm
- multi sensor information fusion