FPGA-Microprocessor Based Sensor for Faults Detection in Induction Motors Using Time-Frequency and Machine Learning Methods.
Roque Alfredo Osornio-RiosIsaias Cueva-PerezAlvaro Ivan Alvarado-HernandezLarisa DunaiIsrael Zamudio-RamírezJose Alfonso Antonino-DaviuPublished in: Sensors (2024)
Keyphrases
- machine learning methods
- fault detection and diagnosis
- induction motor
- machine learning
- high speed
- machine learning algorithms
- fault diagnosis
- machine learning approaches
- signal processing
- ensemble methods
- real time
- fault detection
- learning algorithm
- data acquisition
- sensor networks
- low cost
- pattern recognition
- statistical methods
- artificial neural networks
- decision making
- data mining