Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Motors Based on Stator Current Signal Processing and Machine Learning Algorithms.
Przemyslaw PietrzakMarcin WolkiewiczPublished in: Sensors (2023)
Keyphrases
- machine learning algorithms
- fault diagnosis
- fault detection
- signal processing
- benchmark data sets
- induction motor
- fault detection and diagnosis
- machine learning
- learning algorithm
- machine learning methods
- neural network
- condition monitoring
- decision trees
- chemical process
- image processing
- fuzzy logic
- expert systems
- fault identification
- machine learning models
- rotating machinery
- tennessee eastman
- power transformers
- operating conditions
- bp neural network
- analog circuits
- multiple faults
- electronic equipment
- machine learning approaches
- industrial systems
- gas turbine
- monitoring and fault diagnosis
- rbf neural network
- multi sensor information fusion
- power plant
- statistical machine learning
- semi supervised
- pattern recognition
- permanent magnet synchronous