Jingfeng Cai

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Fault detection and diagnosis (FDD) is increasingly important for wheeled mobile robots (WMRs). One of the most promising approaches is the so-called particle filter (also known as sequential Monte Carlo) method. In this paper, rule based inference and multiple particle filters are integrated to diagnose hard faults of WMR's dead reckoning system. The rule(More)
Decision tree technology has been proven to be a valuable way of capturing human decision making within a computer. One main problem for many traditional decision tree pruning methods is that it is always assumed that all misclassifications are equally probable and equally serious. However, in a real-world classification problem, there may be a cost(More)
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