Fault diagnosis of HVAC system with imbalanced data using multi-scale convolution composite neural network
Fault diagnosis of HVAC system with imbalanced data using multi-scale convolution composite neural network
Rouhui Wu,Yizhu Ren,Mengying Tan,Lei Nie
2024 · DOI: 10.1007/s12273-023-1086-1
Building Simulation · 37 Citations
TLDR
A composite neural network fault diagnosis model is proposed, which combines SMOTETomek, multi-scale one-dimensional convolutional neural networks (M1DCNN), and support vector machine (SVM), providing a novel and promising solution for intelligent building management.