Fault diagnosis of offshore platform based on HHT and SVM

In this paper, the fault diagnosis of offshore platform is studied, and a method combining Support Vector Machine (SVM) and Hilbert-Huang Transform (HHT) is developed. The response signal of the structure is processed by HHT as the index of damage identification, which is used as the input of SVM. Then the damage is judged according to the output of SVM. In addition, Principal Component Analysis (PCA) is used to process the data before the damage degree examination, in order to reduce the number of data dimensions and improve the identification accuracy. This method can diagnosis the location and degree of fault. Meanwhile, diagnosis for the compound faults is also diagnosed. And the feasibility of this method is proved by the jacket platform simulated by ANSYS.