Current Sensor with a Magnetically Sensitive Film
https://doi.org/10.1134/S2304487X21010028
Abstract
The application features of the principal component analysis (PCA) in problems of electromechanical equipment diagnostics are studied. The sequence of analysis of diagnostic data presented in the form of time series is described by constructing a time series trajectory matrix followed by its singular value decomposition. The task is to determine the parameters of the PCA, which will provide the best depth of equipment diagnostics with the reduction of the probabilities of errors of the first and second kinds. To solve the problem, ergodic test signals of vibration of a rotating mechanism are synthesized: serviceable and with a kinematic pair defect. The test signals are processed using PCA and represented in the principal component basis. It is shown that the selection of the sampling characteristics and the parameters of the PCA should be carried out in such a way as to ensure the best separation of the serviceable and defective states of the examined mechanism in the principal component basis. The requirements for the required volume and sampling rate of the processed sample are justified. Recommendations on the choice of window length for the use of PCA have been developed. The effectiveness of the proposed approach is demonstrated by processing both synthetic and real signals. Using the example of vibration analysis of serviceable and defective bearings, it is shown that following the developed recommendations leads to a better separation of serviceable and defective states in the space of the principal components.
About the Authors
E. A. Abidova
Volgodonsk Engineering–Technical Institute, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
347360
Rostov-on-Don oblast
Volgodonsk
A. E. Dembitsky
Volgodonsk Engineering–Technical Institute, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
347360
Rostov-on-Don oblast
Volgodonsk
A. A. Lapkis
Volgodonsk Engineering–Technical Institute, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
347360
Rostov-on-Don oblast
Volgodonsk
N. A. Simakova
Volgodonsk Engineering–Technical Institute, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
347360
Rostov-on-Don oblast
Volgodonsk
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Review
For citations:
Abidova E.A., Dembitsky A.E., Lapkis A.A., Simakova N.A. Current Sensor with a Magnetically Sensitive Film. Vestnik natsional'nogo issledovatel'skogo yadernogo universiteta "MIFI". 2021;10(1):85-92. (In Russ.) https://doi.org/10.1134/S2304487X21010028
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