Diagnostics of Technical Condition of Gear Units of Belt Conveyors for the Aggregate of Methods of Nondestructive Testing

Kuzin, Evgeny; Gerike, Boris; Drozdenko, Yuriy; Lupiy, Michael G; Grigoryeva, Natalya Vladimirovna

doi:10.1088/1757-899x/253/1/012013

Cited by 13 publications

(7 citation statements)

References 2 publications

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“…These products are widely used in the enterprises of Siberia [9] and the Urals. The works [8][9][10][11][12] consider other methods of increasing the durability and wear resistance of products, for example, out-of-furnace processing of cast iron. It is important to note, that the wear resistance and heat resistance of castings are greatly affected by the thermal treatment of the cast iron melt [2].…”

Section: Research Resultsmentioning

confidence: 99%

Application of the optimally alloyed cast irons in order to increase the durability and to ensure the cost reduction of mining and metallurgical products

et al. 2021

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The article shows the relevance of the use of alloyed cast iron in mining and metallurgical engineering. The article discusses the technologies for producing naturally alloyed cast iron. For working bodies and friction units of mining machines, such as pumps, coal pumps, hydrocyclones, crushers and mills. The main type of wear for them is abrasive. To increase the wear resistance of cast iron the production of cast iron has not been sufficiently studied yet. Although the use of cast iron in a complex alloyed with manganese, silicon, chromium, titanium and vanadium has been studied. The article studies the influence of manganese, titanium and vanadium on the mechanical properties and performance of machine parts and products of mining and metallurgical production in contact with high-temperature and highly abrasive media. The rational content of titanium and vanadium in gray cast irons is established in the range of 0.05-0.1%, which ensures their heat resistance and increases their wear resistance. The content of these elements can be increased to 0.07-0.12%. Bushings made of this cast iron have the required wear resistance and can increase the operational reliability of the equipment in the conditions of mining and metallurgical production. They also replace non-ferrous metals, as well as products obtained by powder metallurgy methods.

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Section: Research Resultsmentioning

confidence: 99%

Application of the optimally alloyed cast irons in order to increase the durability and to ensure the cost reduction of mining and metallurgical products

et al. 2021

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“…After that the vibration processes in each individual drive develop uniquely. An overall vibration level after the operating time of 26210 hours exceeds the area of the warning values of 7.2 mm/s in the few gearboxes [5].…”

Section: Introductionmentioning

confidence: 88%

Diagnostics of Gearboxes of Mining Belt Conveyors Using Floating Spectral Masks

et al. 2019

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The article shows the relevance of improving the maintenance system of belt conveyors. The work features of mining gearboxes and the complexity of diagnosing the processes of wear in their elements are considered. On the one hand, the variable character of the load and changeable speed of the conveyor in accordance with the needs of the technological process from another part interferes in the operation of diagnostic systems. The results of the distribution of the overall level of vibration on the same type of gearboxes show different rates of degradation of their nodes. A solution to the problem of assessing the technical condition of the gearbox elements using the “floating” reference spectral masks is proposed. Spectral masks are created for several speeds of the belt movement. The amplitude levels of the velocity vibration characterize defects. They are changing depending on the frequency. They so to say “float”. The spectral masks of the “warning” level and the results of assessing the state of the gearbox with their use are shown.

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“…A thermal analysis was proposed based on MLP neural networks for the diagnosis of failures in helical gears [28]. Further, there was a review published discussing different studies with infrared imaging to detect failures in gearboxes [29], and infrared imaging was used as a complement to other techniques such as vibration signals and acoustic signals for the diagnosis of failures in a gearbox [30]. Even so, the papers reported in the literature that use infrared imaging only focus on failures in the gearbox and do not study the wear in the gears of the gearbox transmission system.…”

Section: Introductionmentioning

confidence: 99%

Novel Methodology for Condition Monitoring of Gear Wear Using Supervised Learning and Infrared Thermography

et al. 2020

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In gearboxes, the occurrence of unexpected failures such as wear in the gears may occur, causing unwanted downtime with significant financial losses and human efforts. Nowadays, noninvasive sensing represents a suitable tool for carrying out the condition monitoring and fault assessment of industrial equipment in continuous operating conditions. Infrared thermography has the characteristic of being installed outside the machinery or the industrial process under assessment. Also, the amount of information that sensors can provide has become a challenge for data processing. Additionally, with the development of condition monitoring strategies based on supervised learning and artificial intelligence, the processing of signals with significant improvements during the classification of information has been facilitated. Thus, this paper proposes a novel noninvasive methodology for the diagnosis and classification of different levels of uniform wear in gears through thermal analysis with infrared imaging. The novelty of the proposed method includes the calculation of statistical time-domain features from infrared imaging, the consideration of a dimensionality reduction stage by means of Linear Discriminant Analysis, and automatic fault diagnosis performed by an artificial neural network. The proposed method is evaluated under an experimental laboratory data set, which is composed of the following conditions: healthy, and three severity degrees of uniform wear in gears, namely, 25%, 50%, and 75% of uniform wear. Finally, the obtained results are compared with classical condition monitoring approaches based on vibration analysis.

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Diagnostics of Technical Condition of Gear Units of Belt Conveyors for the Aggregate of Methods of Nondestructive Testing

Cited by 13 publications

References 2 publications

Application of the optimally alloyed cast irons in order to increase the durability and to ensure the cost reduction of mining and metallurgical products

Application of the optimally alloyed cast irons in order to increase the durability and to ensure the cost reduction of mining and metallurgical products

Diagnostics of Gearboxes of Mining Belt Conveyors Using Floating Spectral Masks

Novel Methodology for Condition Monitoring of Gear Wear Using Supervised Learning and Infrared Thermography

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