Abstract：Correct modal parameter identification is one of the difficulties and cores for online structural damage diagnosis and health monitoring. Based on the prototype test of Ertan arc dam, combined with stochastic subspace identification algorithm and improved stabilization diagram, the modal parameters of arc dam under flow discharge are identified effectively, and also long-term online monitoring of the high dam is realized, so it offers evidence for structural health evaluation. Aimed at noise problem and the consequent identification and elimination of false modal parameters, and the order-determined problem as well in time domain, improved stabilization diagram is put forward to make more precise results, and the results is compared with the results with ERA method . Study shows that the new approach has excellent character and fine precision, and also has good prospect applied to engineering.
2010, Vol. 29 
