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To maintain an efficient operating unit and avoid failure of mineral critical equipment, fault detection and diagnosis are the solution for the critical parts of these equipments. This paper presents a non parametric classification technique using Best Selective Parameters (BSP) embedded in Binary Decision Tree (BDT). The method arises from the question: how can we choose suitable types of parameters...
Decision tree support vector machine (DTSVM), which combines SVM and decision tree using the concept of dichotomy, is proposed to solve the multi-class fault diagnosis tasks. Since the classification performance of DTSVM is closely related to its structure, genetic algorithm is introduced into the formation of decision tree, to cluster the multi-classes with maximum distance between the clustering...
Jet engine gas path fault diagnosis is not only important in modern condition-based maintenance of aircraft engines, but also a challenging classification problem. Exploring more advanced classification techniques for achieving improved classification performance for gas path fault diagnosis, therefore, has been increasingly active in recent years in PHM community. To that end, in this paper, we apply...
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