Fault diagnosis of HVAC system with imbalanced data using multi-scale convolution composite neural network

R Wu, Y Ren, M Tan, L Nie - Building Simulation, 2024 - Springer
Accurate fault diagnosis of heating, ventilation, and air conditioning (HVAC) systems is of
significant importance for maintaining normal operation, reducing energy consumption, and …

[PDF][PDF] 不平衡分布的数据驱动故障诊断的研究进展

李川, 伍依凡, 杨帅 - 仪器仪表学报, 2023 - yqyb.cnjournals.com
故障诊断是工业系统健康监测的重要内容, 现有的数据驱动故障诊断方法多是利用类别平衡的
数据集进行建模的. 但在实际应用中, 工业系统往往产生大量类别不平衡的样本 …

基于滑动窗和多块卷积自编码器的故障检测

牟建鹏, 熊伟丽 - 系统仿真学报, 2024 - china-simulation.com
为了进一步提升故障检测性能, 充分挖掘时序和隐含特征信息, 提出一种基于卷积自编码器的
故障检测方法. 在对原始信息集进行建模的基础上增加了对累计信息与变化率信息的建模 …

Fault Detection Based on Sliding Window and Multiblock Convolutional Autoencoders

J Mou, W Xiong - Journal of System Simulation, 2024 - dc-china-simulation …
In order to further improve the fault detection performance and fully mine the timing and
hidden feature information, a fault detection method based on convolutional auto encoder is …

Fault Diagnosis of Integrated Energy System Based on CNN-LSTM

W Ma, S Liu, H Liang, S Zhang, Y Gao… - 2023 42nd Chinese …, 2023 - ieeexplore.ieee.org
The integrated energy system (IES) has the characteristics of electricity, heating, cooling and
gas multi-energy coupling. Compared with the single energy system, its fault characteristics …