A Time-Saving Stochastic Subspace Identification Method for Spatial Grid Structure

• DOI: 10.1142/s021945542550230x
• Publication Date: 2024-08-10T15:47:31Z
• Authors: Jinzhi Wu; Zenan Ma; Guojun Sun; Ming Ma; Jie Hu; Mingliang Liu; Chunjuan Zhou
• Keywords: Identification

In the identification process of SSI–DATA method, stabilization diagram is generally used to determine order system. However, in modal parameter spatial grid structure, there are few stable points that meet requirements, and stability axis not obvious. So, location point cannot be determined. Furthermore, QR decomposition Hankel matrix computationally inefficient difficult use for online when analyzing structure. solve above problems, this paper proposes a time-saving random subspace method structure based on an improved diagram. On basis traditional projection transformed into transformation its R matrix, then subsequent calculation carried out. Then, frequency search domain set auxiliary made. According spectrum peak, axis, position comprehensively judged. The parameters can identified more accurately, which improves efficiency avoids omissions or misjudgments certain extent. Using model (upper chord [Formula: see text][Formula: text]m, lower text]m), advantages were compared verified. results indicate time 29.077[Formula: text]s, while 3.752[Formula: resulting 87.1% improvement efficiency, also preventing mode omission misjudgment. By further applying vibration monitoring hangars, applicability, higher computational precision have been proven.