A Deep Residual Convolutional Neural Network based Bearing Fault Diagnosis with Multi-Sensor Data.
Guangxing NiuEnhui LiuBin ZhangMichael GoldaStephen MastroPublished in: ICPS (2021)
Keyphrases
- sensor data
- fault diagnosis
- monitoring and fault diagnosis
- neural network
- sensor networks
- fault detection
- deep learning
- expert systems
- fuzzy logic
- fault detection and diagnosis
- sensor measurements
- chemical process
- power transformers
- bp neural network
- rbf neural network
- health monitoring
- sensor readings
- electronic equipment
- operating conditions
- condition monitoring
- human activities
- multiple sensors
- gas turbine
- earth observation
- multiple faults
- rotating machinery
- analog circuits
- electrical power systems
- data streams
- industrial systems
- fault identification
- low cost sensors
- data mining
- real time
- multi sensor information fusion
- fuzzy sets
- decision making
- machine learning
- data sets