Research on Fault Identification of Sewage Treatment Based on PSO Clustering Algorithm
Various unusual conditions are likely to occur during sewage treatment process, which would lead to some consequences such as the decrease of water quality in the process of sewage treatment and the increase of disposal process, whereby causing a great influence to the practical operation efficiency of sewage treatment factories. Based on the analysis of the fault characteristics during the process of active sludge sewage treatment, a PSO clustering algorithm is presented. By putting this algorithm into the fault classification in sewage treatment, the results demonstrate that this algorithm could be an effective identification towards the unusual conditions during the sewage treatment process, which provides an efficient way for sewage treatment process fault diagnosis.
Guodong Zhang and Shengguo Cheng
R. N. Li et al., "Research on Fault Identification of Sewage Treatment Based on PSO Clustering Algorithm", Advanced Materials Research, Vol. 599, pp. 622-627, 2012