Abstract: The aim of this paper is to create a process that compare time response of some clustering algorithms in data Mining , the subset of this experimentation is a data set stored in Teradata . In this paper, we present a novel hierarchical clustering algorithm called CHAMELEON that measures the similarity of two clusters based on a dynamic model. We present also k Means as representative of Partitioned ones, and DBSCAN as part of Density Based.

• Publication Date: 02-Jun-2014
• DOI: 10.15224/978-1-63248-010-1-27
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Abstract: The purpose of performance monitoring and fault diagnostics are to detect and distinguish faults occurring in machinery in order to increase the level of maintenance and improve safety conditions. In fluid power systems, it is necessary for safety reasons to detect faults in an early phase by establishing a suitable diagnostic system. The diagnostic system presented in this paper compares simulation results and data acquired from an actual system in a suitable environment and the residuals are evaluated for the fault detection process. The final fault diagnosis process is achieved by interaction of modelling information, on-line measured values of the system variables and stored knowledge

• Publication Date: 02-Jun-2014
• DOI: 145
• Views: 0
• Downloads: 0