Rotating Machine Systems Fault Diagnosis Using Semisupervised Conditional Random Field-Based Graph Attention Network.
Yao TangXiaofei ZhangYujia ZhaiGuojun QinDianyi SongShoudao HuangZhuo LongPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- fault diagnosis
- conditional random fields
- expert systems
- fault detection
- fuzzy logic
- monitoring and fault diagnosis
- electronic equipment
- bp neural network
- neural network
- random fields
- semi supervised
- fault detection and diagnosis
- generative model
- real time
- rbf neural network
- gas turbine
- higher order
- graphical models
- electrical power systems
- artificial intelligence
- multiple faults
- knowledge base
- chemical process
- information extraction
- analog circuits
- decision making
- power transformers
- multi sensor information fusion
- crf model
- condition monitoring
- semantic segmentation
- telecommunication networks
- power plant
- graph structure
- similarity measure
- steady state
- pairwise
- hidden markov models
- probabilistic model