Recalibration of a gas-sensor array system related to sensor replacement

Univariate multiplicative drift correction and multivariate component correction were applied for recalibration of long-term measurement data acquired with a solidstate gas-sensor array system. The efficiency of the methods was evaluated by classifying recalibrated measurement data using k-nearest neighbor classification and partial least-squares discriminant analysis. For the measurement data in this experiment both multiplicative drift correction and component correction appeared to be useful for recalibration of measurement data from the new gas-sensor array with regard to measurement data acquired with the old replaced gas-sensor array.