In this article, a just-in-time-learning (JITL)-aided canonical correlation analysis (CCA) is
proposed for the monitoring and fault detection of multimode processes. A canonical …

Researchers have reached a consensus on the thermal discomfort known as the major
cause of sick building syndrome, which hurts people's health and working efficiency greatly …

Control and monitoring of indoor thermal conditions represent crucial tasks for people's
satisfaction in working and living spaces. Among all standards released, predicted mean …

In this paper we present a swarm intelligence approach to tackle the optimal sizing problem
of all the microgrid (MG) components. A model has been built for a grid-connected MG and …

Kernel canonical variate analysis (KCVA) cannot be adopted for monitoring nonlinear time‐
varying processes because of changes in variance, mean, and correlation between …

Smart home service has been an emerging and profitable new business for IT and telecomm
corporations. The nature of integrated heterogeneous gadgets and devices makes smart …

Almost all of the existing fault detection statistics only consider the input data, but neglect the
information contained in the output data. In this paper, a novel method based on KCVA …

This paper proposes a kernel canonical variate analysis (KCVA) approach for process fault
detection. The technique employs the kernel principle to map the original process …

In a complex Internet of Things (IoT) system (ie Smart Cities, Smart Buildings, Smart
Transport, Industry 4.0), IoT devices are more and more interconnected and interdependent …

Control and monitoring of indoor thermal conditions represent crucial tasks for people's
satisfaction in working and living spaces. In the first part of the chapter we address thermal …