Monitoring the Technical Condition of a Refueling Machine Using Representation in a Multidimensional Feature Space

   The possibility of applying the methods of technical diagnostics to monitor the technical condition of the VVER-1000 power unit refueling machine (RM) has been analyzed. Operational monitoring of the vibrational state of its mechanisms is complicated by the abundance of possible operating modes, differing in speed, direction of movement, and weight loads on the grips. Сluster analysis tools have shown which vibration parameters allow the best separation of the operating modes of mechanisms in the normalized feature space. Typical clusters of points corresponding to different operation modes of the RM mechanisms have been constructed on the data of an industrial experiment at the Rostov NPP. The necessity of using both traditional vibrational parameters and vibration acceleration kurtosis taking into account the form of vibration distribution has been shown. The analysis of the compactness profiles and the relationships between the distances inside and between the built clusters has revealed the regime parameters that mostly affect the vibrational state of the mechanisms.

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