Fault detection and diagnosis(FDD)approaches comprise three main pillars:model-based,knowledge-based,and data-driven strategies.Data-driven approaches prioritise operational data and do not necessitate in-depth unders...
Recent studies show that artificial intelligence(AI),such as machine learning and deep learning,models can be adopted and have advantages in fault detection and diagnosis for building energy systems.This paper aims to...
supported in part by the National Natural Science Foundation of China(NSFC)under Grants 61941104,61921004;the Key Research and Development Program of Shandong Province under Grant 2020CXGC010108;the Southeast University-China Mobile Research Institute Joint Innovation Center;supported in part by the Scientific Research Foundation of Graduate School of Southeast University under Grant YBPY2118.
The great potentials of massive Multiple-Input Multiple-Output(MIMO)in Frequency Division Duplex(FDD)mode can be fully exploited when the downlink Channel State Information(CSI)is available at base stations.However,th...
supported by the foundation of National Key Laboratory of Electromagnetic Environment(Grant No.JCKY2020210C 614240304);Natural Science Foundation of ZheJiang province(LQY20F010001);the National Natural Science Foundation of China under grant numbers 82004499;State Key Laboratory of Millimeter Waves under grant numbers K202012.
The performance of massive MIMO systems relies heavily on the availability of Channel State Information at the Transmitter(CSIT).A large amount of work has been devoted to reducing the CSIT acquisition overhead at the...