چكيده به لاتين
Industrial systems often have optimal performance in the beginning, however, after some time in operation, factors such as changes in system parameters, changes due to persistent disturbances, and changes in the status of the plant equipment, limit the lifetime of these systems. Therefore, the performance of industrial systems must be monitored continually, so that the performance deterioration due to these changes can be quickly detected, and the necessary actions taken to improve their performance. The purpose of this paper is to detect a performance deterioration and determine the cause of it in a system. In this paper, two indices have been used for online performance monitoring of the system. The first index is defined based on a squared distance measurement between the closed-loop system outputs and chosen set-points. The second index is a statistical index that uses all the information in the covariance matrices of the closed-loop system output data. Both indices are used and compared for performance monitoring of a quadruple-tank system. In addition to the mentioned indices for performance monitoring of a system, hypothesis testing method has been used to determine the cause of the performance deterioration, so that appropriate solutions according to the cause can be applied to the system to improve the performance.
