Abstract: A predictive maintenance system for a Sample Handling System (SHS) of a Gas Analyzer determines optimal operational range for SHS and for each component of the SHS by analyzing real-time operational data and historical operational data using a pretrained prediction model; detects a system fault in the SHS by comparing real-time operational data of the SHS with the optimal operational range of the SHS; detects a component fault in at least one of the components by comparing the real-time operational data of the components with the optimal operational range of each component; and forecasts a future operational state of each component based on information related to the system fault, information related to the component fault and topology information of the components, thereby performing the predictive maintenance of the SHS.

Abstract: A method for estimating moisture content of a gas mixture in a Sample Handling System includes receiving data comprising measurements, and a plurality of parameters related to the gas mixture; analyzing the data to remove one or more anomalies; and calculating a surface area of the gas cooler based on the analyzed data and a determined thermodynamic properties, heat transfer coefficient and mass transfer coefficient of the gas mixture to estimate the moisture content of the gas mixture at an inlet and outlet of a gas cooler.