%0 Journal Article
%T Application of Probabilistic Causal-effect Model based Artificial Fish-Swarm Algorithm for Fault Diagnosis in Mine Hoist
%A Chu-Jiao Wang
%A Shi-Xiong Xia
%J Journal of Software
%D 2010
%I Academy Publisher
%R 10.4304/jsw.5.5.474-481
%X This paper presents an intelligent methodology for diagnosing incipient faults in mine hoist. As Probabilistic Causal-effect Model-Based diagnosis is an active branch of Artificial Intelligent, in this paper, the feasibility of using probabilistic causal-effect model is studied and it is applied in artificial fish-swarm algorithm (AFSA) to classify the faults of mine hoist. In probabilistic causal-effect model, we employed probability function to nonlinearly map the data into a feature space, and with it, fault diagnosis is simplified into
%K Mine hoist
%K artificial fish-swarm algorithm
%K Fault diagnosis
%K Probabilistic causal-effect model
%U http://ojs.academypublisher.com/index.php/jsw/article/view/620