Fault diagnosis of self-aligning troughing rollers in belt conveyor system using k-star algorithm

Measurement ◽  
2019 ◽  
Vol 133 ◽  
pp. 341-349 ◽  
Author(s):  
S. Ravikumar ◽  
H. Kanagasabapathy ◽  
V. Muralidharan
Keyword(s):  
Fault Diagnosis ◽  
Belt Conveyor ◽  
Conveyor System

Research of Fault Diagnosis of Belt Conveyor Based on Fuzzy Neural Network

2014 ◽  
Vol 8 (1) ◽  
pp. 916-921
Author(s):  
Yuan Yuan ◽  
Wenjun Meng ◽  
Xiaoxia Sun
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Bp Neural Network ◽  
Fault Location ◽  
Fuzzy Neural Network ◽  
Fuzzy Theory ◽  
Belt Conveyor ◽  
Fuzzy Neural ◽  
Neural Network Algorithm ◽  
Network Fault

To address deficiencies in the process of fault diagnosis of belt conveyor, this study uses a BP neural network algorithm combined with fuzzy theory to provide an intelligent fault diagnosis method for belt conveyor and to establish a BP neural network fault diagnosis model with a predictive function. Matlab is used to simulate the fuzzy BP neural network fault diagnosis of the belt conveyor. Results show that the fuzzy neural network can filter out unnecessary information; save time and space; and improve the fault diagnosis recognition, classification, and fault location capabilities of belt conveyor. The proposed model has high practical value for engineering.

Research on the Idler Spacing of Belt Conveyor

2011 ◽  
Vol 127 ◽  
pp. 295-299 ◽  
Author(s):  
Yong Cun Guo ◽  
Gang Cheng ◽  
Kun Hu ◽  
Zhu Fen Wang
Keyword(s):  
Power Plants ◽  
Minimum Cost ◽  
Belt Conveyor ◽  
Conveyor System ◽  
Spacing Distribution ◽  
Mathematical Expressions ◽  
Crucial Component ◽  
Critical Consideration ◽  
Selection Of ◽  
Conveyor Roller

Belt conveyor is widely used in mine, coal, chemical industry, ports, and power plants. It’s one of the significant devices of continuous conveyor. Roller is a crucial component with regard to belt conveyor system, which supports belts and cargos. In the design of the belt conveyor, a third of major consumption went into rollers. The critical consideration for minimum cost, which including operating, manufacturing, maintenance expenditure, is the selection of idler spacing. For optimization purposes, the optimum pitch between the rollers is regard as more decisive variable, especially for minimizing consumption and reducing rollers’ number than other various factors. This paper discusses the idler spacing to proceed from original technical first, secondly analyzes the effective factors in detail and then deduces rational arrangement mathematical expressions of idler spacing. Simultaneously, combining with the corresponding parameter, we draw up the hierarchical layout figure of idler spacing distribution through the calculation expression. It’s the optimal option of idler spacing that providing an outstanding reference in the actual production.

Research on Fault Diagnosis Strategy of Belt Conveyor

2013 ◽  
Vol 312 ◽  
pp. 607-610 ◽  
Author(s):  
Wei Hu ◽  
Ou Li
Keyword(s):  
Fault Diagnosis ◽  
Set Theory ◽  
Information Fusion ◽  
Accurate Diagnosis ◽  
Experimental Result ◽  
Fusion Center ◽  
Fusion Technology ◽  
Fuzzy Information ◽  
Belt Conveyor ◽  
Diagnosis Method

In view of the inadequacy of the fault diagnosis of the belt conveyor, the paper takes advantage of the application of fuzzy information fusion technology to fault diagnosis, based on the fuzzy set theory, a fault diagnosis method based on Multi-sensor fuzzy information fusion is developed. The obtain information of many sensors will fuzzy, again its fusion based on the synthetic operation and decision-making rules of the fusion center, in order to gain the accurate state estimation and judgment of belt conveyor. The experimental result indicates that the credibility of diagnosis is improved markedly and the uncertainty is reduced significantly after the multi-sensor fuzzy information fusion, the accurate diagnosis to belt conveyor is realized.

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