Convolutional Neural Network-Based Bayesian Gaussian Mixture for Intelligent Fault Diagnosis of Rotating Machinery.
Guoqiang LiJun WuChao DengZuoyi ChenXinyu ShaoPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- rotating machinery
- gaussian mixture
- fault diagnosis
- neural network
- fault detection
- industrial systems
- em algorithm
- gaussian mixture model
- expert systems
- expectation maximization
- closed form
- fault detection and diagnosis
- probability density function
- covariance matrix
- maximum likelihood
- mixture model
- gas turbine
- operating conditions
- fuzzy logic
- electronic equipment
- power plant
- condition monitoring
- intelligent systems
- monitoring and fault diagnosis
- learning algorithm
- chemical process
- bayesian networks
- analog circuits
- density estimation
- power transformers
- multiple faults
- real time
- multi sensor information fusion
- objective function
- decision making
- feature space
- knn