Time-varying Multivariate Statistical Process Control for Solar Photovoltaic Monitoring and Fault Detecting & Diagnosing Systems

Abstract

Time-varying multivariate statistical process control (TMSPC) has been proposed as a tool for process monitoring, fault detecting & diagnosing of time-varying system. It is a modification of multivariate statistical process control (MSPC) of which is designed for the process that variables operated on normal operational condition which independence of time. However, in some processes, such as solar photovoltaic system, the process variables, i.e., temperature, voltage and current, are time-varying. Therefore, TMSPC has been proposed as monitoring and diagnosing tool for time-varying process. The proposed technique has been demonstrated with solar photovoltaic system located at Research & Development Institute, Nakhon Phanom University, Thailand (RDI-NPU).