Storage Life Modeling and Analysis for Contacting Slip Ring Based on Physics of Failure

Zhang, Jianchun; Ma, Xiaobing; Cheng, Bo; Zhao, Yu

doi:10.1109/tcpmt.2017.2751583

Cited by 7 publications

(4 citation statements)

References 26 publications

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“…The model-driven method is processed primarily based on models built from the relevant knowledge of mathematics and physics. Zhang et al [6] established the storage life model of the contact sliding ring by studying microscopic contact and thin-film electrical conduction mechanism. Zhao et al [7] established the wear prediction model of the slip ring and carbon brush system using the improved Coulomb viscous friction model.…”

Section: Introductionmentioning

confidence: 99%

Online tracking and prediction of slip ring degradation using chaos theory based on LSTM neural network

Zuo¹,

Zhu²,

Zhou³

2023

Meas. Sci. Technol.

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Online monitoring of the slip ring was important to ensure the normal operation of the wind turbine equipment. The current-carrying friction experiment was carried out to simulate the degradation process of the slip ring. The chaotic parameter enclosing radius and statistical parameter root mean square were used to characterize the multi-sensor signals comprehensively. A new health indicator was proposed to evaluate the degradation state of slip ring based on the long and short-term memory (LSTM) neural network. It was fused by the signals of friction vibration, friction torque, voltage and electric current. The health indicator shows a better prediction effect by the prediction model. At the severe stage of the slip ring, the evaluation criteria MAE, RMSE, and MAPE of the health indicator are 0.0055,0.0043 and 4.5470%, which are much better than the RMS of the vibration signal. The results verify that the method can effectively determine the real-time degradation state of the slip ring.

show abstract

Section: Introductionmentioning

confidence: 99%

Online tracking and prediction of slip ring degradation using chaos theory based on LSTM neural network

Zuo¹,

Zhu²,

Zhou³

2023

Meas. Sci. Technol.

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“…Technical indicators are gradually approaching the direction of zero wear and zero maintenance [ 2 ]. Therefore, scholars have conducted in-depth research on the contact form [ 3 , 4 , 5 ], material wear [ 6 ], and performance reliability of conductive slip rings [ 7 ]. The position of the brush wire in contact with the slip ring directly affects the amount of pressure in contact with the slip ring.…”

Section: Introductionmentioning

confidence: 99%

Machine Vision-Based Method for Measuring and Controlling the Angle of Conductive Slip Ring Brushes

Liu

Wang

et al. 2022

Micromachines

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The conductive slip ring is used for power or signal transmission between two objects rotating relative to each other. It has become an essential part of modern industrial development. In traditional automated production measurements, the typical method is to use calipers, goniometers, or angle gauges to measure a parameter of the workpiece several times and then average it. These inspection means have low measurement accuracy and slow measurement speed, and measurement data cannot be processed in a timely manner. A machine vision-based method for measuring and controlling the angle of the brushes is proposed for this problem. First, the brush angle forming device was built for the conductive slip ring brush wire, forming the principle and rebound characteristics. Then, machine vision and image processing algorithms were applied to measure the key parts of the conductive slip ring brushes. The data of the forming angle value and rebound angle value were obtained during the forming process of the brush wire angle. Finally, a pre-compensation model for the brush filament rebound was developed and validated based on the curve fitting method. The test results show that the error of the angle measurement is within 0.05°. The average error of the measured rebound angle and the calculated rebound angle of the brush filament pre-compensation model was 0.112°, which verifies the correctness of the pre-compensation model. The forming angle can be controlled more precisely, and the contact performance between the brush wire and the ring body can be improved effectively. This method has the potential to be extended to engineering applications.

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“…Now, to analyse the whole stages/processes information of electric power equipment, scholars have researched and established some management platforms [16] and focused on the whole life cycle research [17, 18]. Both can monitor the whole stages/processes of power equipment [19].…”

Section: Introductionmentioning

confidence: 99%

Research on quality problems management of electric power equipment based on knowledge–data fusion method

Han

Jiang

Zhang

et al. 2019

IET Generation, Transmission & Distribution

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Storage Life Modeling and Analysis for Contacting Slip Ring Based on Physics of Failure

Cited by 7 publications

References 26 publications

Online tracking and prediction of slip ring degradation using chaos theory based on LSTM neural network

Online tracking and prediction of slip ring degradation using chaos theory based on LSTM neural network

Machine Vision-Based Method for Measuring and Controlling the Angle of Conductive Slip Ring Brushes

Research on quality problems management of electric power equipment based on knowledge–data fusion method

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