Across working conditions fault diagnosis for chillers based on IoT intelligent agent with deep learning model

•Operation data of chiller is collected through the Internet of Things Intelligent Agent.•A hybrid model of across working conditions fault diagnosis of chiller is proposed.•Domain knowledge is used to assist deep learning avoids directly extracting features.•The proposed model achieves outstanding effect under the across working conditions.