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Bearings are one of the most omnipresent and vulnerable components in rotary machinery such as motors, generators, gearboxes, or wind turbines. The consequences of a bearing fault range from production losses to critical safety issues. To mitigate these consequences condition based maintenance is gaining momentum. This is based on a variety of fault diagnosis techniques where fuzzy clustering plays...
Nowadays, the available data to describe real world problems grows in considerable manner, due to the amount of measurable characteristics (features) that can be collected. Machine learning techniques are widely used to extract valuable knowledge from data, but their performance might decrease when the proper features are not selected. Feature selection is introduced to search relations to disclose...
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering result. It may lose critical information about individual cluster. This paper introduces some basic movements of evolution of an individual cluster. Based on the measurement of the movements, a novel algorithm called MovStream...
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