A Novel Bayesian Framework With Enhanced Principal Component Analysis for Chemical Fault Diagnosis.
Guang YangYanli ZhaoXiaohua GuPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- bayesian framework
- fault diagnosis
- principal component analysis
- prior knowledge
- generative model
- expert systems
- neural network
- dimensionality reduction
- expectation maximization
- multi sensor information fusion
- bayesian formulation
- bp neural network
- fuzzy logic
- monitoring and fault diagnosis
- fault identification
- gas turbine
- fault detection and diagnosis
- fault detection
- operating conditions
- multiple faults
- feature extraction
- face recognition
- condition monitoring
- chemical process
- power transformers
- electronic equipment
- analog circuits
- maximum a posteriori
- probability density function
- rotating machinery
- power plant
- em algorithm
- probabilistic model
- feature space
- markov random field
- denoising
- electrical power systems
- fault diagnostic
- machine learning