2019
DOI: 10.1016/j.measurement.2019.07.045
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Longitudinal tear early-warning method for conveyor belt based on infrared vision

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Cited by 24 publications
(15 citation statements)
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“…Pre-emphasis can enhance the spectrum of the falling part of the sound signals, thereby maintaining the flatness of the signals spectrum and preparing for the subsequent spectrum analysis work [27]. Preemphasis is usually implemented by using a first-order digital filter as shown in (2).…”
Section: ) Pre-emphasismentioning
confidence: 99%
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“…Pre-emphasis can enhance the spectrum of the falling part of the sound signals, thereby maintaining the flatness of the signals spectrum and preparing for the subsequent spectrum analysis work [27]. Preemphasis is usually implemented by using a first-order digital filter as shown in (2).…”
Section: ) Pre-emphasismentioning
confidence: 99%
“…Conveyor belts are one of the important equipment for coal mine production, which are widely used in coal production and transportation. Due to the influence of the materials transported, such as gangue, anchors, etc., the conveyor belts are prone to longitudinal tear [1], [2]. Once the conveyor belt longitudinal tear occurs, it will seriously affect the production of coal mine and even cause personal injury.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it plays an extremely important role in the operation of belt conveyor. In the working process of the belt conveyor, harsh working environment and sudden accidents may lead to longitudinal tearing of conveyor belt [2] [3], which may lead to machine damage, production stagnation and even casualties in serious cases.…”
Section: Introductionmentioning
confidence: 99%
“…Qiao et al proposed an integrated binocular vision detection method on the basis of infrared and visible light fusion to detect the tearing of the mining conveyor belt [14]. Yang et al used the infrared light detection method based on the new infrared image binarization threshold automatic selection algorithm to detect the tear of conveyor belt [3]. Hou et al combined machine vision and GMM-UBM sound recognition to comprehensively detect the tearing of conveyor belt [15].…”
Section: Introductionmentioning
confidence: 99%
“…Further, if the damage of the conveyor belt cannot be detected and treated in time, it may eventually cause the occurrence of the conveyor belt tearing accident, which will cause greater harm. The current detection methods for conveyor belt tearing include: weak magnetic test [20], built-in sensor chip method [21], machine vision method [22][23][24][25], line laser-assisted method [26], infrared camera assisted method [27][28][29][30], audio-visual fusion method [31].Among them, most of the research work only focuses on the detection of tearing of conveyor belt, without the detection of other types of damage, which has a certain limitation.…”
Section: Introductionmentioning
confidence: 99%