the National Natural Science Foundation of China(No.51775272,No.51005114);The Fundamental Research Funds for the Central Universities,China(No.NS2014050)。
In data-driven fault diagnosis for turbo-generator sets,the fault samples are usually expensive to obtain,and inevitably with noise,which will both lead to an unsatisfying identification performance of diagnosis model...