Statistical process control based fault detection of CHP units

摘要

This paper describes a fault diagnosis method that provides early detection of fouling of the heat recovery system of combined heat and power units. Early detection of fouling build-up is difficult from basic data analysis methods due to limited instrumentation, and a unit can operate for many months with a reduced heat transfer rate before an unplanned shut down. This novel application of statistical process control (SPC) using an estimate of the coolant flow rate, provides advanced warning of fouling build-up and allows significantly increased energy recovery and reduced financial losses from unplanned unit shut down and incorrect fault identification.