Multi-scale deep coupling convolutional neural network with heterogeneous sensor data for intelligent fault diagnosis.
Jinghui TianDongying HanLifeng XiaoPeiming ShiPublished in: J. Intell. Fuzzy Syst. (2021)
Keyphrases
- fault diagnosis
- sensor data
- convolutional neural network
- multiscale
- neural network
- industrial systems
- heterogeneous sensor networks
- sensor networks
- expert systems
- face detection
- fault detection
- sensor measurements
- fault detection and diagnosis
- fuzzy logic
- operating conditions
- data streams
- power transformers
- monitoring and fault diagnosis
- rbf neural network
- electronic equipment
- condition monitoring
- sensor readings
- health monitoring
- analog circuits
- human activities
- multiple sensors
- rotating machinery
- bp neural network
- intelligent systems
- chemical process
- multiple faults
- low cost sensors
- data sets
- gas turbine
- power plant
- intelligent control
- raw sensor data
- image fusion
- decision making
- tennessee eastman
- real time
- fault diagnostic
- multi sensor information fusion