No abstract

Using techniques for the propagation of distributions to estimate uncertainties is becoming increasingly popular in metrology. Here we describe the calculation for the estimation of uncertainties in hygrometry using this method. This work is based on investigations on the two-temperature moist gas generator at Laboratoire National d'Essais.After a brief introduction on the calibration principles of hygrometers, models and calculation for estimating uncertainties using a Monte Carlo simulation are presented. Results concerning dew point temperature and relative humidity are shown, and compared with results obtained with the law of propagation of uncertainties (traditional method).The importance of the moist gas temperature measurement with regard to the saturator and the test chamber is confirmed. Moreover, results observed with the propagation of distributions and the traditional method are coherent.

Within the framework of the realization of a moist gas generator, a two-dimensional mass and heat transfer model has been established and then resolved. The impact of parameters such as flow rate of the gas and dew point temperature of the incoming gas was assessed. The realized moist gas generator was tested in a comparison made by means of a reference hygrometer.