عنوان مقاله [English]
نویسندگان [English]چکیده [English]
For metallurgical and economic computations and process performance control, it is essential to have enough and correct information from different sections, particularly material flow. Typically, owing to economic or technical reasons, it is not possible to measure or sample all existing currents. On the other hand, due to measuring device in plants and/or sampling procedures and analysis, collected data have inevitable errors with them؛ therefore, utilizing different methods of data reconciliation under the exact models, including mass balance, and accessing to the data is mandatory. In this paper, regarding the installed measurement system or sampling in the studied mineral processing circuit, results of using basic cycles matrix method for examining the employed measurement system were presented in terms of accessing to the required information and determining observable and unobservable sections of the circuit. Besides, a new method for conducting circuit mass balance in a multivariate state was provided. To validate the suggested method, its application in was discussed in Gole Gohar concentrate desulphurization circuit. Findings of the study revealed that using this test enjoys high capability in balancing the collected data and because of its appropriate construction in Matlab software, it is feasible to study very complicated circuits.