A Multiscale Spatio-Temporal Convolutional Deep Belief Network for Sensor Fault Detection of Wind Turbine.
Hong WangHongbin WangGuoqian JiangYueling WangShuang RenPublished in: Sensors (2020)
Keyphrases
- fault detection
- deep belief networks
- wind turbine
- multiscale
- fault diagnosis
- power plant
- deep learning
- unsupervised learning
- restricted boltzmann machine
- hierarchical models
- wind speed
- probabilistic model
- sparse coding
- industrial processes
- generative model
- fault identification
- sensor data
- image representation
- tennessee eastman
- neural network
- image processing
- expert systems
- machine learning
- fuzzy logic
- natural images
- fuel cell
- bp neural network
- learning algorithm
- approximate inference
- hierarchical model
- real time
- sensory data
- dimensionality reduction
- probabilistic graphical models
- semi supervised
- object recognition
- decision support system
- conditional random fields