Reliability analysis of belt conveyor based on fault data

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Abstract

In order to improve the accuracy of the reliable analysis of the belt conveyor, based on the belt conveyor fault data, firstly fit the probability density distribution function of the belt conveyor fault interval time. According to the characteristics of the fault data, it is inferred that it may obey the Weibull three-parameter distribution. The Weibull distribution model is obtained by combining the least squares method with the correlation coefficient method, and the accuracy of the model is verified by d test. Finally, the reliability of the belt conveyor is analysed, and the measures to improve the reliability of the belt conveyor are given, which provides a theoretical basis for the daily maintenance of the belt conveyor.

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Li, M., Yingqian, S., & Luo, C. (2019). Reliability analysis of belt conveyor based on fault data. In IOP Conference Series: Materials Science and Engineering (Vol. 692). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/692/1/012009

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