The high-sulfur gas (HSG) sweetening process is large-scale and complicated. The acid component may cause great security risk. Applying real-time monitoring of the production process has important significance to ensure the system normal work and safety. Regarding to such chemical processes

the higher-order cumulants analysis (HCA) used the higher-order cumulants and their polyspectras of samples to construct the statistical index

which greatly improves the detection rate. Nevertheless

the different importance of independent components is not concerned in the construction of HS statistical indicators

which may lead to a certain degree of deviation of the monitoring results. Meanwhile

using multiple-indicators may cause the conflicting results among indicators so that the accuracy cannot be guaranteed. Therefore

a fault monitoring method based on contribution weighted higher-order cumulants analysis (CW-HCA) is proposed. The approach weights the sample's third order cumulant according to the contribution of independent components respectively

afterwards

the new weighted index and the residual spatial index are combined to realize the real-time monitoring. The results in TE and HSG sweetening process indicate that

compared with ICA and HCA

the proposed algorithm shows significant efficiency and superiority.