Vibration Diagnostics of the Brush-Collector Assembly, as Means of Assessing

Filina, Olga; Vakhitov, Khalil; Starodubets, Artyom; Salnikova, Olga

doi:10.1109/reepe53907.2022.9731424

Cited by 2 publications

(2 citation statements)

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“…In [9], a piecewise linear function is presented which is depicted in Figure 6, where the parameters a1, a2, a3, as well as J1 and J2, can be varied within almost any limits. Practice has shown that, with appropriate selection of these parameters, a characteristic like the one depicted in Figure 6, can be much closer to the real characteristic than the characteristic of the type The following functions are currently used to approximate the VAC of a brush…”

Section: Methodsmentioning

confidence: 99%

“…The torque characteristics at low speeds make DC motors ideal for moving heavy loads at relatively low speeds, with large masses that require a tremendous amount of force to accelerate. All of these qualities make the DC motor the preferred traction motor for use in heavyduty dump trucks [9]. With the application of effective diagnostic solutions and reliability improvement, the DC traction motor remains a stable technical solution, and with the implementation of timely diagnostics, it is possible to extend the period of its operation.…”

Section: Introductionmentioning

confidence: 99%

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Increasing the Efficiency of Diagnostics in the Brush-Commutator Assembly of a Direct Current Electric Motor

Filina,

Martyushev,

Malozyomov

et al. 2023

Energies

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Increasing the productivity and reliability of mining infrastructure facilities is an important task in achieving future goals. Mining dump trucks are an important part of coal mine infrastructure. In this article, to determine the reliability indicators in a brush–commutator unit and the residual life of electric motor brushes, a mathematical model for processing statistical data has been developed, which allows for the classification of types of failures and, unlike existing models, the determination of the life of the brushes according to the maximum extent of their wear. A method for predicting the residual life of an electric brush in a DC electric motor is presented, which contains a list of controlled reliability indicators, included a mathematical model. The described model improves the accuracy of the prediction and detection of DC motor failures. The derivation of the general formula for calculating the residual life of electric brushes is given. Based on the proposed mathematical model, we studied and calculated the reliability of the brush–commutator unit, the minimum height of the brush during operation, the average rate of its wear, the standard deviation and the mathematical expectation of brush wear. A nomogram of the failure-free operation time of the brush–commutator unit in a DC electric motor was modeled using the height of the brush during operation. Output parameters after the implementation of this monitoring system include the reliability of the electric motor operation. At the same time, diagnostic characteristics are improved twofold, and the residual life of the brush-switching unit is increased by 28–30%.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%