Signal Generation using 1d Deep Convolutional Generative Adversarial Networks for Fault Diagnosis of Electrical Machines.
Russell SabirDaniele RosatoSven HartmannClemens GühmannPublished in: ICPR (2020)
Keyphrases
- fault diagnosis
- electrical power systems
- expert systems
- neural network
- fault detection
- deep learning
- fault detection and diagnosis
- fuzzy logic
- bp neural network
- power transformers
- chemical process
- multiple faults
- rbf neural network
- vibration signal
- electronic equipment
- gas turbine
- operating conditions
- monitoring and fault diagnosis
- condition monitoring
- analog circuits
- non stationary
- failure diagnosis
- multi sensor information fusion
- industrial systems
- rotating machinery
- data mining
- network parameters
- power plant
- frequency domain
- wavelet analysis
- transmission line
- network structure
- unsupervised learning
- partial discharge
- knowledge base
- machine learning