scholarly journals Application of Lightweight Convolutional Neural Network for Damage Detection of Conveyor Belt

2021 ◽  
Vol 11 (16) ◽  
pp. 7282
Author(s):  
Mengchao Zhang ◽  
Yuan Zhang ◽  
Manshan Zhou ◽  
Kai Jiang ◽  
Hao Shi ◽  
...  
Keyword(s):  
Damage Detection ◽  
Working Conditions ◽  
Detection Method ◽  
Conveyor Belt ◽  
Detection Methods ◽  
Test Accuracy ◽  
Test Results ◽  
Test Speed ◽  
Conveyor Belts ◽  
Belt Conveyors

Aiming at the problem that mining conveyor belts are easily damaged under severe working conditions, the paper proposed a deep learning-based conveyor belt damage detection method. To further explore the possibility of the application of lightweight CNNs in the detection of conveyor belt damage, the paper deeply integrates the MobileNet and Yolov4 network to achieve the lightweight of Yolov4, and performs a test on the exiting conveyor belt damage dataset containing 3000 images. The test results show that the lightweight network can effectively detect the damage of the conveyor belt, with the fastest test speed 70.26 FPS, and the highest test accuracy 93.22%. Compared with the original Yolov4, the accuracy increased by 3.5% with the speed increased by 188%. By comparing other existing detection methods, the strong generalization ability of the model is verified, which provides technical support and empirical reference for the visual monitoring and intelligent development of belt conveyors.

Elimination of outlier measurements for damage detection of structures under changing environmental conditions

2021 ◽  
pp. 147592172199847
Author(s):  
William Soo Lon Wah ◽  
Yining Xia
Keyword(s):  
Damage Detection ◽  
Multiple Regression ◽  
Natural Frequencies ◽  
Detection Method ◽  
Detection Methods ◽  
Structure Model ◽  
Bridge Structure ◽  
Beam Structure ◽  
Dependent Variables ◽  
The Difference

Damage detection methods developed in the literature are affected by the presence of outlier measurements. These measurements can prevent small levels of damage to be detected. Therefore, a method to eliminate the effects of outlier measurements is proposed in this article. The method uses the difference in fits to examine how deleting an observation affects the predicted value of a model. This allows the observations that have a large influence on the model created, to be identified. These observations are the outlier measurements and they are eliminated from the database before the application of damage detection methods. Eliminating the outliers before the application of damage detection methods allows the normal procedures to detect damage, to be implemented. A multiple-regression-based damage detection method, which uses the natural frequencies as both the independent and dependent variables, is also developed in this article. A beam structure model and an experimental wooden bridge structure are analysed using the multiple-regression-based damage detection method with and without the application of the method proposed to eliminate the effects of outliers. The results obtained demonstrate that smaller levels of damage can be detected when the effects of outlier measurements are eliminated using the method proposed in this article.

scholarly journals A Review of Non-Destructive Damage Detection Methods for Steel Wire Ropes

2019 ◽  
Vol 9 (13) ◽  
pp. 2771 ◽  
Author(s):  
Ping Zhou ◽  
Gongbo Zhou ◽  
Zhencai Zhu ◽  
Zhenzhi He ◽  
Xin Ding ◽  
...  
Keyword(s):  
Damage Detection ◽  
Detection Method ◽  
Steel Wire ◽  
Guided Wave ◽  
Detection Methods ◽  
Wire Ropes ◽  
Intelligent Sensors ◽  
Detection Technology ◽  
Damage States ◽  
Non Destructive

As an important load-bearing component, steel wire ropes (WRs) are widely used in complex systems such as mine hoists, cranes, ropeways, elevators, oil rigs, and cable-stayed bridges. Non-destructive damage detection for WRs is an important way to assess damage states to guarantee WR’s reliability and safety. With intelligent sensors, signal processing, and pattern recognition technology developing rapidly, this field has made great progress. However, there is a lack of a systematic review on technologies or methods introduced and employed, as well as research summaries and prospects in recent years. In order to bridge this gap, and to promote the development of non-destructive detection technology for WRs, we present an overview of non-destructive damage detection research of WRs and discuss the core issues on this topic in this paper. First, the WRs’ damage type is introduced, and its causes are explained. Then, we summarize several main non-destructive detection methods for WRs, including electromagnetic detection method, optical detection method, ultrasonic guided wave detection method, and acoustic emission detection method. Finally, a prospect is put forward. Based on the review of papers, we provide insight about the future of the non-destructive damage detection methods for steel WRs to a certain extent.

Mathematical Model for Determining the Lifetime of Conveyor Belts Depending on some Selected Parameters

2014 ◽  
Vol 683 ◽  
pp. 147-152
Author(s):  
Miriam Andrejiová ◽  
Anna Grinčová ◽  
Anna Pavlisková
Keyword(s):  
Mathematical Model ◽  
Statistical Methods ◽  
Paint Layer ◽  
Conveyor Belt ◽  
Belt Conveyor ◽  
Layer Width ◽  
Conveyor Belts ◽  
Belt Conveyors ◽  
Transported Material ◽  
Optimal Construction

In the last years, belt conveyors belong to the most frequently used means of transport in various industries. The most important component of the belt conveyor is the conveyor belt. Therefore, it is necessary to pay more attention also to optimal lifetime of conveyor belts. Conveyor belt lifetime is a very complicated issue. It is affected by plenty of factors, including above all the quality structure of the belt conveyor, optimal construction, production, and properties of the conveyor belt as such, adequate solution of conveyance route shifting, reasonable maintenance, and quality repairs of conveyor belts. The paper deals with the exploring the lifetime of conveyor belts depending from on some selected parameters obtained from the operating records of practice (thickness of paint layer, width and length of the belt, conveyor speed and quantity of transported material) with using appropriate mathematical - statistical methods.

scholarly journals Preventive maintenance of multiple components for hydraulic tension systems

2021 ◽  
Vol 23 (3) ◽  
pp. 489-497
Author(s):  
Hongyan Dui ◽  
Xiaoqian Zheng ◽  
Qian Qian Zhao ◽  
Yining Fang
Keyword(s):  
Working Conditions ◽  
Preventive Maintenance ◽  
Conveyor Belt ◽  
Tension Force ◽  
Maintenance Cost ◽  
Number Of Components ◽  
Multiple Components ◽  
Conveyor Belts ◽  
The Cost

Automatically controlled hydraulic tension systems adjust the tension force of a conveyor belt under different working conditions. Failures of an automatically controlled hydraulic tension system influence the performance of conveyor belts. At present, the maintenance of automatically controlled hydraulic tension systems mainly considers the replacement of components when failures occur. Considering the maintenance cost and downtime, it is impossible to repair all the failed components to improve the hydraulic tension system. One of the key problems is selecting the most valuable components for preventive maintenance. In this paper, preventive maintenance for multiple components in a hydraulic tension system is analyzed. An index is proposed to select more reliable preventive maintenance components to replace the original ones. A case study is given to demonstrate the proposed method. When the cost budget increases, there are three different variations in the number of components for selective preventive maintenance (SPM).

Structural damage detection via combining weighted strategy with trace Lasso

2018 ◽  
Vol 22 (3) ◽  
pp. 597-612 ◽  
Author(s):  
Chengbin Chen ◽  
Chudong Pan ◽  
Zepeng Chen ◽  
Ling Yu
Keyword(s):  
Damage Detection ◽  
Swarm Intelligence ◽  
Structural Damage ◽  
Optimization Problem ◽  
Detection Method ◽  
Rapid Development ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Structural Damage Detection ◽  
Selection Operator

With the rapid development of computation technologies, swarm intelligence–based algorithms become an innovative technique used for addressing structural damage detection issues, but traditional swarm intelligence–based structural damage detection methods often face with insufficient detection accuracy and lower robustness to noise. As an exploring attempt, a novel structural damage detection method is proposed to tackle the above deficiency via combining weighted strategy with trace least absolute shrinkage and selection operator (Lasso). First, an objective function is defined for the structural damage detection optimization problem by using structural modal parameters; a weighted strategy and the trace Lasso are also involved into the objection function. A novel antlion optimizer algorithm is then employed as a solution solver to the structural damage detection optimization problem. To assess the capability of the proposed structural damage detection method, two numerical simulations and a series of laboratory experiments are performed, and a comparative study on effects of different parameters, such as weighted coefficients, regularization parameters and damage patterns, on the proposed structural damage detection methods are also carried out. Illustrated results show that the proposed structural damage detection method via combining weighted strategy with trace Lasso is able to accurately locate structural damages and quantify damage severities of structures.

scholarly journals Note on Studying Change Point of LRD Traffic Based on Li's Detection of DDoS Flood Attacking

2010 ◽  
Vol 2010 ◽  
pp. 1-14 ◽  
Author(s):  
Zhengmin Xia ◽  
Songnian Lu ◽  
Junhua Tang
Keyword(s):  
Change Point ◽  
Detection Method ◽  
Denial Of Service ◽  
Attack Detection ◽  
Detection Methods ◽  
Hurst Parameter ◽  
Test Results ◽  
Self Similarity ◽  
Ddos Detection ◽  
Detection Evaluation

Distributed denial-of-service (DDoS) flood attacks remain great threats to the Internet. To ensure network usability and reliability, accurate detection of these attacks is critical. Based on Li's work on DDoS flood attack detection, we propose a DDoS detection method by monitoring the Hurst variation of long-range dependant traffic. Specifically, we use an autoregressive system to estimate the Hurst parameter of normal traffic. If the actual Hurst parameter varies significantly from the estimation, we assume that DDoS attack happens. Meanwhile, we propose two methods to determine the change point of Hurst parameter that indicates the occurrence of DDoS attacks. The detection rate associated with one method and false alarm rate for the other method are also derived. The test results on DARPA intrusion detection evaluation data show that the proposed approaches can achieve better detection performance than some well-known self-similarity-based detection methods.

A Damage Detection Method: CMSE Combined with Niche GA

2007 ◽  
Vol 334-335 ◽  
pp. 929-932 ◽  
Author(s):  
Xu Ge ◽  
Yun Ju Yan ◽  
Huan Guo Chen
Keyword(s):  
Composite Material ◽  
Damage Detection ◽  
Composite Structures ◽  
Structural Damage ◽  
Strain Energy ◽  
Detection Method ◽  
Detection Methods ◽  
Damage Localization ◽  
Complex Structures ◽  
Modal Strain Energy

The paper presents an effective damage detection method of complex composite structures. It can be carried out through the experimental modal analysis of the damaged structure. The method using the improved Cross Modal Strain Energy (CMSE) technique and Niche GA has many advantages compared with other damage detection methods. The CMSE method can use any modes of the structure and the modes don’t need to be normalized or consistent in scale. The Niche GA improves the efficiency of the calculation and enhances the capacity of identifying structural damage localization. The model is the composite material airfoil case. The numerical results show that the method proposed in this paper is successful for damage detection of complex structures.

scholarly journals Sustainable quality of conveyor belts using an integrated knowledge system to support decision-making

2021 ◽  
pp. 117-126
Keyword(s):  
Service Life ◽  
Economic Indicator ◽  
Conveyor Belt ◽  
Knowledge System ◽  
Comprehensive Knowledge ◽  
Conveyor Belts ◽  
Integrated Knowledge System ◽  
Belt Conveyors ◽  
Integrated Knowledge

Environmentally friendly conveyor belts are a modification of conventional conveyor belts. Conveyor belts of the Ecotubelt type enclosed in the shape of a pipe are the most important construction element of hose conveyors, which represent an ecological replacement of classic belt conveyors. Their closed conveyor belt in the shape of a hose allows you to transport material with minimal environmental pollution around the conveyor. A long-term problem for the users of these conveyor belts in the world is their maximum use with regard to their service life within the life cycle of the equipment that uses the conveyor belts. In order to achieve a sustainable quality of conveyor belts related to their service life, it is necessary to propose new procedures for evaluating the quality of conveyor belts in terms of their performance. The object of the research is closed conveyor belts of the Ecotubelt type with special construction. The aim of the research is aimed at gaining comprehensive knowledge about the performance of non-traditional closed conveyor belts in order to achieve their sustainable quality. The article presents a new approach to the evaluation of the quality of the Ecotubelt type conveyor belt using the concept of a knowledge system integrating multidisciplinary knowledge from rubber technologies, the results of laboratory and simulation experiments, as well as mathematical models. The integrated knowledge system includes quality-oriented subsystems within products, processes, services. The result of the model is an economic indicator (TCO) Total Cost Over ship index, which expresses the quality index for the purchase and use of a conveyor belt. The function of the proposed knowledge system for assessing the quality of the conveyor belt is to provide the user with adequate information from a huge amount of data and information, which will enable him to achieve a sustainable quality of classic open as well as closed conveyor belts.

Determination of critical inclination angle for the conveyer with pressure belt

2020 ◽  
pp. 275-284
Author(s):  
R.V. Kiriia ◽  
◽  
V.F. Monastyrskyi ◽  
A.M. Smirnov ◽  
B.I. Mostovyi ◽  
...  
Keyword(s):  
Internal Friction ◽  
Inclination Angle ◽  
Conveyor Belt ◽  
Critical Inclination ◽  
Equilibrium Equations ◽  
Tangential Stresses ◽  
Linear Load ◽  
Bulk Medium ◽  
Conveyor Belts ◽  
Belt Conveyors

Today , steeply inclined belt conveyors with pressure belt are widely used in the world for transporting bulks. According to the literature, critical angle of these conveyors inclination varies from 35º to 90º. However, there is no sufficiently justified value of critical conveyor inclination angle. In this work, critical inclination angle of conveyor with pressure belt was determined for different states of the bulk on the conveyor depending on linear load of the bulk on the conveyor belt and the bulk properties. It was assumed that tangential stresses at each point of the bulk were balanced by the bulk gravity force projected towards the direction of conveyor belt movement and did not exceed critical tangential stresses in the bulk medium. In addition, the Coulomb's law of friction was applied for the forces of the bulk friction against the conveyor carrying and pressure belts. In this article, the authors consider cases when coefficient of the bulk internal friction is greater than coefficients of the bulk friction against conveyor carrying and pressure belts, and when coefficient of the bulk internal friction is less than coefficient of the bulk friction against the conveyor carrying belt. As a result of solving the obtained systems of the equilibrium equations for each of the above cases, the dependences of critical inclination angle of conveyor with pressure belt on the linear load of the bulk and linear weight of the pressure belt, as well as on coefficients of the bulk friction against the carrying and pressure conveyor belts and coefficient of the bulk internal friction load were determined. Analysis of the obtained dependencies showed that critical inclination angle of conveyor with pressure belt decreases with increase of linear load of the transported bulk. With an increase of coefficients of bulk friction against the conveyor carrying and pressure belts and coefficient of the bulk internal friction, critical inclination angle of conveyor with pressure belt increases. Besides, with increase of ratio between the pressure belt linear load and the bulk linear load, critical inclination angle of conveyor with pressure belt increases and tends to 90° when increase of this ratio is unlimited.

Application the Renewal Theory to Determining the Models of the Optimal Lifetime for Conveyor Belts

2014 ◽  
Vol 683 ◽  
pp. 97-101
Author(s):  
Anna Grinčová ◽  
Miriam Andrejiová ◽  
Peter Grendel
Keyword(s):  
Renewal Theory ◽  
Conveyor Belt ◽  
Transport Systems ◽  
Belt Conveyor ◽  
Operation Analysis ◽  
Conveyor Belts ◽  
Belt Conveyors ◽  
High Level ◽  
The Cost ◽  
Methods Of Operation

Belt conveyance belongs to the continual transport systems characteristic with high-level conveying performances. Belt conveyors are of significant importance in the transportation of various types of materials in the industries like engineering, metallurgy and construction. The fundamental and the most expensive component of belt conveyors is the conveyor belt which is, during the operation on the belt conveyor, exposed to number of various loads that evoke the process of conveyor belt wear and damage. Lifetime of conveyor belts, which is the determining parameter for the belt conveyance economy and efficiency, is very important for the practice.Issues regarding the conveyor belt lifetime should be solved applying also the methods of operation analysis, especially the linear programming and the renewal theory that uses the theory of probability and mathematic statistics. The objective of our research was to determine the optimal lifetime (optimal performance duration) of a belt conveyor, applying the renewal theory, whereas the research was based on the cost approach of the renewal process.

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