Low-Cost and Unobtrusive Respiratory Condition Monitoring Based on Raspberry Pi and Recurrent Neural Network.
Yunlu WangMenghan HuChaohua YangNa LiJian ZhangQingli LiGuangtao ZhaiSimon X. YangPublished in: ISCAS (2021)
Keyphrases
- recurrent neural networks
- condition monitoring
- low cost
- fault detection
- neural network
- fault diagnosis
- feed forward
- acoustic emission
- nuclear power plant
- recurrent networks
- reservoir computing
- artificial neural networks
- complex valued
- long short term memory
- feedforward neural networks
- real time
- ambient intelligence
- hidden layer
- tool wear
- embedded systems
- fuzzy logic
- echo state networks
- nonlinear dynamic systems
- machine learning
- neural nets
- neural model
- data fusion
- learning algorithm