The paper presents the use of data reconciliation to better characterize the operating state of experimental installations in an industrial context. The paper focuses on the development of a data reconciliation approach using the OpenModelica prototype to study first the detection of the defects in an experimental hydraulic test loop, but also the characterization of good measurement data in an HVAC testing facility. Data reconciliation is shown to be effective for the most pronounced defects intentionally introduced in the system. Regarding the characterization of measurements, data reconciliation identified two initially unnoticed invalid experiments.