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Identification of the Technical Condition of Induction Motor Groups by the Total Energy Flow

doi: 10.3390/en14206677
The paper discusses the method of identifying the technical condition of induction motors by classifying the energy data coming from the main common power bus. The work shows the simulation results of induction motor operation. The correlation between occurring defects and current diagrams is presented. The developed simulation model is demonstrated. The general algorithm for conducting experiments is described. Five different experiments to develop an algorithm for the classification are conducted: determination of the motors number in operation with different power; determination of the motors number in operation with equal power; determination of the mode and load of induction electric motor; determination of the fault and its magnitude with regard to operation and load of induction motor; determination of the fault and its magnitude with regard to operation and load of induction motor with regard to non-linear load in the flow. The article also presents an algorithm for preprocessing data to solve the classification problem. In addition, the classification results are shown and recommendations for testing and using the classification algorithm on a real object are made.
- Saint Petersburg Mining University Russian Federation
- Saint Petersburg Mining University Russian Federation
Technology, simulation model, T, the coefficient of electromagnetic momentum ripple, current harmonic distortion factor, classification algorithm; induction electric motor; simulation model; the coefficient of electromagnetic momentum ripple; current harmonic distortion factor, induction electric motor, classification algorithm
Technology, simulation model, T, the coefficient of electromagnetic momentum ripple, current harmonic distortion factor, classification algorithm; induction electric motor; simulation model; the coefficient of electromagnetic momentum ripple; current harmonic distortion factor, induction electric motor, classification algorithm
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
