Identifying the mixed effects of unobserved and observed risk factors on the reliability of mining hauling system

Allahkarami, Zeynab; Sayadi, Ahmad Reza; Ghodrati, Behzad

doi:10.1007/s13198-021-01073-3

Cited by 5 publications

(5 citation statements)

References 29 publications

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“…Rukovaoci dampera rade u otežanim uslovima rada [11,12]. Dodatno, podaci o smrtnim slučajevima u vezi sa damperima pokazuju visoke brojeve i preporučuju se brojne mere za unapređenje bezbednosti [13][14][15]. Potrošnja goriva dampera čini oko 30% ukupne potrošnje energije u površinskim kopovima [16][17].…”

Section: Rezultati Snimanja Rada Damperaunclassified

Dumper operation risk analysis model and HAMRISK expert system

Misita¹,

Spasojević-Brkić²,

Rakonjac³

et al. 2022

Tehnika

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The paper presents a model of risk analysis of dumper operation with the aim of determining the most common reason for unplanned stoppages, as well as, after classifying stoppages by system, to evaluate them from the aspect of risk. The set criteria for risk analysis are: time spent in downtime, frequency of downtime and level of danger. The results of the research indicated the causes of high risk on the observed machines, on the basis of which priority preventive maintenance measures can be refined in order to reduce risk. Furthermore, in the research on risk prevention of the operation of transport and mining machines, the online contextual and adaptive expert system HAMRISK was developed and the advantages and disadvantages of the developed software solution were examined in practice.

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Section: Rezultati Snimanja Rada Damperaunclassified

Dumper operation risk analysis model and HAMRISK expert system

Misita¹,

Spasojević-Brkić²,

Rakonjac³

et al. 2022

Tehnika

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“…Krunic et al 3 proposed two model approaches to life cycle assessment of auxiliary mining machines: one based on reliability theory and the other based on cost–benefit principle, which provides decision basis for the effectiveness of further operation, maintenance or replacement of machinery. Allahkarami et al 4 studied the application of the mixed vulnerability model in the reliability analysis of mining equipment to describe the observed and unobserved heterogeneity, and used the field data of dump truck fleets in open-pit mines to evaluate the ability of the model. Stanek and venkata 5 made a detailed analysis of the reliability of the mine power system, described the multifaceted effort to estimate the failure rates of equipment applicable to the mine environment, and used fault tree analysis to predict the probability of dangerous voltages on various mining equipment frames.…”

Section: Introductionmentioning

confidence: 99%

Mine ventilation system reliability evaluation based on a Markov chain

Liu

Zhou

2022

Sci Rep

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Mine ventilation systems play a key role in creating and sustaining a healthy and safe working environment within the mine, and as such, should always be maintained at optimal performance levels. This paper establishes a model based on Markov chain that can quickly evaluate the reliability of the ventilation system. Firstly, the operation status of the ventilation system is divided into normal, risk and failure. Then, according to the failure rate and repair rate of the system, the operation state of the system under the specified total operation time T and time interval Δt is simulated based on Monte Carlo method, the Markov chain state transfer probability matrix of the system can be obtained. Combined with the current operation state of the system, the reliability indexes such as the system operation state transfer probability and the steady state probability in the future can be quickly analyzed to realize the rapid evaluation of the operation reliability of the ventilation system. Finally, the model is used to evaluate the reliability of XQ mine ventilation system, which shows the effectiveness of the model. This research provides theoretical reference and technical support for mine safety production.

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“…This is particularly important in case of preliminary crushers, which typically occur as single units, forming a serial and parrarel reliability structure with other machines. Reliability assessments of repairable mining machines have been reported in some papers [3,7,8]. Esmaeili and Nabizadeh [9,10] discussed loading and hauling, which their failure rate and profitability of mines.…”

Section: Introductionmentioning

confidence: 99%

“…Esmaeili and Nabizadeh [9,10] discussed loading and hauling, which their failure rate and profitability of mines. Allahkarami and Kumar [3,11] analyzed the reliability of haul trucks and failure rate consequences. Therefore, reliability analysis is required to identify the bottlenecks in the machine system and to find the components or subsystems with low reliability for a given designed performance [12,13].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Utilisation States and Reliability Parameters of Process-Line Configuration for Low-Quality Rock Deposits

Bodziony¹,

Patyk²

2021

Adv. Sci. Technol. Res. J.

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The production performance of mining and also construction equipment (like haul trucks, excavators, loaders, crushing and screening equipment) depends on its availability and utilisation states. Thus, it is necessary to determine the mean availability and structure utilisation of machinery systems with the aim to improve the same. At the same time, a detailed analysis of machinery operation data can result in a more effective management of mining plant operations and the mining process itself. Determination of operational state indices and their individual components allows to start preventive actions, resulting in the improvement of the organisation of work of the entire mine machinery system. Moreover, the future technical state of machines operated in surface mining is closely related to the current state and depends also on the events that have occurred in the extraction system. The analysis of dependability parameters can have a significant impact on decision-making, related both to the processes of use and maintenance, and, primarily, to all main operational processes of the mine. Different mines follow different terms and maintain different information. The only common information in most of them concerns the availability and utilisation of mining and construction equipment, which might be useful. There is a need to develop proper feedback and to define terms, factors and indices related to mining equipment. Below follows an analysis of selected operational parameters and the mean availability in the process of using the mining and construction equipment. This type of analyses help determine the operational potential of every element in the engineering system, understood as the ability to perform work processes. The analyses also illustrate how the reliability parameters change with the durability of the operated machinery. This makes it possible to identify the machines with the highest and lowest damage rates and such analyses can form the basis for the creation of optimised machine systems.

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Identifying the mixed effects of unobserved and observed risk factors on the reliability of mining hauling system

Cited by 5 publications

References 29 publications

Dumper operation risk analysis model and HAMRISK expert system

Dumper operation risk analysis model and HAMRISK expert system

Mine ventilation system reliability evaluation based on a Markov chain

Analysis of Utilisation States and Reliability Parameters of Process-Line Configuration for Low-Quality Rock Deposits

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