Predictive Maintenance of Induction Motors Using Ultra-Low Power Wireless Sensors and Compressed Recurrent Neural Networks.
Michal MarkiewiczMaciej WielgoszMikollaj BochenskiWaldemar TabaczynskiTomasz KoniecznyLiliana KowalczykPublished in: IEEE Access (2019)
Keyphrases
- recurrent neural networks
- induction motor
- wireless sensor
- ultra low power
- neural network
- feed forward
- wireless sensor networks
- sensor networks
- low power
- closed loop
- echo state networks
- recurrent networks
- network management
- base station
- artificial neural networks
- control scheme
- fault tolerance
- wireless communication
- energy efficiency
- network security
- fuzzy controller
- artificial intelligence
- high speed
- control system
- association rules
- simulation model
- knowledge base
- load balancing
- rough sets
- real time