Tension prediction for the scraper chain through multi-sensor information fusion based on improved Dempster-Shafer evidence theory

Zhang, Xing; Ma, Yue; Li, Yutan; Zhang, Chuanjin; Jia, Chenxi

doi:10.1016/j.aej.2022.08.039

Cited by 7 publications

(4 citation statements)

References 31 publications

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“…DS Evidence Theory [14][15] is a set of theoretical methods proposed by Dempster and improved by Shafer in 1976 to effectively solve uncertainty reasoning problems, and most of the current applications are in fault diagnosis, military indicators, risk assessment, etc. Let Π be independent and mutually exclusive non-empty sets, called recognition frames, usually denoted by 2 Π .…”

Section: Ds Theory Of Evidencementioning

confidence: 99%

An algorithm for online detection of crystallization state of penicillin salt solution

Wang,

Guo,

Wang

2023

Third International Conference on Control and Intelligent Robotics (ICCIR 2023)

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Section: Ds Theory Of Evidencementioning

confidence: 99%

An algorithm for online detection of crystallization state of penicillin salt solution

Wang,

Guo,

Wang

2023

Third International Conference on Control and Intelligent Robotics (ICCIR 2023)

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“…The D-S evidence theory is adept at characterizing and expressing uncertain information in scenarios where a priori probabilities are lacking. Consequently, it finds extensive application in the fields of multi-sensor information fusion [3,4], classification [5,6], fault diagnosis [7,8], decision making [9,10], and state assessment [11,12]. Despite its widespread utility, it encounters some difficulties.…”

Section: Introductionmentioning

confidence: 99%

A Conflict Evidence Fusion Method Based on Bray–Curtis Dissimilarity and the Belief Entropy

Liu,

Zou,

2024

Symmetry

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The D-S evidence theory is extensively applied to manage uncertain information. However, the theory encounters challenges related to conflicts during the fusion process, impeding the precise identification of multi-subset focal elements. This paper introduces a novel method for conflicting evidence fusion that incorporates the Bray–Curtis dissimilarity, cosine distance of the included angle, and belief entropy. The method comprehensively evaluates three aspects—evidence similarity, evidence distance, and the amount of information—while considering factors like the credibility and uncertainty of evidence. Initially, the evidence undergoes conversion into single-subset focal element evidence through the improved Pignistic probability function. Subsequently, the credibility between pieces of evidence is established using the Bray–Curtis dissimilarity and angle cosine distance, while the uncertainty of the evidence is computed using belief entropy. The weighted correction coefficient of the evidence is determined by integrating the credibility and uncertainty of the evidence. Subsequently, the corrected evidence is fused using the D-S evidence theory to derive the final judgment. An analysis of two sets of arithmetic examples, considering both single-subset and multi-subset focal elements, demonstrates the faster convergence and enhanced accuracy and reliability of the proposed method in comparison to existing approaches.

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“…Zhang et al [13] established a multi-body dynamics model of the chain drive system of a scraper conveyor and verified the reliability of the dynamics model through fixed-point strain measurement experiments. Zhang et al [14] proposed a scraper chain tension prediction method based on sensor information fusion for chain drive system of scraper conveyor by combining the improved D-S evidence theory, which was proved to be significantly better than other conventional methods in terms of the correctness of the predicted parameters through experiments.…”

Section: Introductionmentioning

confidence: 99%

Dynamic characteristics of scraper conveyor chain drive system under the impact condition of lump coal

Jiang,

Lv,

Zeng

et al. 2024

PLoS ONE

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Scraper conveyor is the most important transportation equipment in the comprehensive mining equipment, and the chain drive system is its core subsystem, its dynamic characteristics will significantly affect the efficiency of coal transportation in the comprehensive mining face. In this paper, the dynamic characteristics of chain drive system when impacted by falling coal are investigated by means of test. The impact test bench of scraper conveyor was set up to analyze the effects of chain speed, impact height and impact load mass on the dynamic characteristics of the chain drive system of scraper conveyor under the working conditions of unloaded and loaded. The results show that the longitudinal vibration of the scraper conveyor is most obvious when it is impacted by the falling coal, and the chain speed, impact height and impact load mass of the scraper conveyor all play an excitation role on the vibration of the chain drive system, and the vibration of the chain ring is the most intense in the chain drive system, and the loaded coal pile conveyed on the scraper conveyor plays an inhibiting role on the vibration of the chain drive system. This study can help to identify the location where the scraper conveyor fails first in the impact condition, so as to provide a basis for its structural design and improvement, which is of great significance for the stable operation and structural optimization of the scraper conveyor.

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Tension prediction for the scraper chain through multi-sensor information fusion based on improved Dempster-Shafer evidence theory

Cited by 7 publications

References 31 publications

An algorithm for online detection of crystallization state of penicillin salt solution

An algorithm for online detection of crystallization state of penicillin salt solution

A Conflict Evidence Fusion Method Based on Bray–Curtis Dissimilarity and the Belief Entropy

Dynamic characteristics of scraper conveyor chain drive system under the impact condition of lump coal

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