Service FMECA of a bucket wheel excavator

Pantelic, Milorad; Bošnjak, Srđan; Misita, Mirjana; Gnjatović, Nebojša B.; Stefanović, Aleksandar

doi:10.1016/j.engfailanal.2019.104289

Cited by 7 publications

(9 citation statements)

References 10 publications

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“…Most of the research on mining machinery is focused to dynamic modeling of structure and mechanisms and aimed to extend machinery exploitation life (it is over 40 years, which only increases pollution) and reliability and maintenance procedures improvement (Brkić et al, 2014;Rusiński et al, 2017;Tanasijevic et al, 2019), since downtime/stoppage time leads to losses close to 10000EUR/hour (Pantelić et al, 2020). Research in sustainability fields are very rare, although level of greenhouse gases and energy consumption in mining is far from accordance with reduction plans and safety is far from desired (Mirzaei Aliabadi et al, 2018;Ma et al, 2019;Helmers et al, 2020).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Smart, ergonomic and sustainable mining machinery workplaces: An overview of the SmartMiner project

Spasojević-Brkić,

Mihajlović,

Nikolić

et al. 2024

XIX International May Conference on Strategic Management – IMCSM24 Proceedings - Zbornik Radova

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Despite being the oldest, the mining industry continues to be a major source of pollution, with more people killed or injured than in all other industries. Additionally, social tension related to this sector is widespread around the world, since mining businesses continue to have a significant negative influence on land, water, air, biota, and people through direct and indirect mechanisms. The mining machinery workplaces, which are in the focus of this study have the largest environmental footprint. The dominance of technology-centered design in present research streams is most likely the explanation for the lack of advancement in the mining industry. The SmartMiner project creates shift from technology-centered design and its concept creates solutions for improving the standard of environmental quality in complex systems and suggests a paradigm change to a Human and Data-Centric Engineering. By aligning advanced operator I4.0&5.0 and society S5.0 standards, the SmartMiner project develops solutions for raising the level of environmental quality in complex interactions between physical, behavioural, and organizational processes field. Proposed paradigm can be easily transferred to other industries. The safety of mining machinery operators in their immediate surroundings and their regular alignment with value chain stakeholders are the first steps in our original idea approval process. Research moves to the operator macro-environment, which is determined by organizational contextual factors, and is encompassed by the development of intelligent, ergonomic, non-invasive, and dependable operator aid systems for regulating physical environment job stressors-noise, human vibration, lighting, temperature, air quality, workplace layout issues, etc., with high potential to solve environmental and human health issues and to influence overall performance.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Smart, ergonomic and sustainable mining machinery workplaces: An overview of the SmartMiner project

Spasojević-Brkić,

Mihajlović,

Nikolić

et al. 2024

XIX International May Conference on Strategic Management – IMCSM24 Proceedings - Zbornik Radova

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“…Risk in the field of mining machinery has not been sufficiently analysed in the professional literature. There are several papers published in this field [27,35,37]. Kumar and Srivastava in the paper [37] define quality maintenance of technical systems through reliability.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The new RPN value is significantly reduced compared with the initial one. Pantelic, Bosnjak, et al [27] use the S-FMECA model as one of the basic analytical tools for the creation of maintenance concepts. The data were obtained based on monitoring the operation of the machine in the time interval.…”

Section: Literature Reviewmentioning

confidence: 99%

“…• Risk to structural stability-design errors, insufficient maintenance, or ES management errors can cause catastrophic damage with total damage [21][22][23][24][25]; • Risk of interruption of the production process-downtime of ES causes losses in planned production [26,27];…”

mentioning

confidence: 99%

“…Indirect costs are then often higher than direct ones. Analyses show that the indirect cost per hour of bucket-wheel excavator downtime can be up to EUR 15,000 [26,27].…”

mentioning

confidence: 99%

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Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM

et al. 2022

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The risk assessment of engineering systems represents an important part of the quality of service and dependability. The existing methods for risk evaluation use crisp sets for rating partial indicators’ proposition and their cumulative products as an overall indicator. In this paper, existing FMEA and FMECA methods have been improved using the fuzzy expert system for calculating the risk priority number. The application of fuzzy logic allows the use of linguistic descriptions for risk analysis. In this way, the state of the system in terms of risks and consequences is better described. The settings of the fuzzy systems are based on the application of two multi-criteria decision-making methods. The AHP method was used to define the mutual relationship of the impact of partial indicators (occurrence, severity, and detectability) on risk. In this way, subjectivity in risk assessment is reduced. In the composition of the fuzzy model, the TOPSIS method is introduced to reduce the dissipation of results, which contributes to the accuracy of the outcome. This contributes to the accuracy of the results. The results were verified through a case study of a complex engineering system—bucket-wheel excavators. The risk was observed from the aspect of the danger of damage and the danger of downtime. The initial information for weak points of ES is defined according to historical damage events and statistics of downtime. Expert knowledge was used for weak points grading in the model. Additional model verification was performed using similar methods, using the same input data. The innovative model, presented in the paper, shows that it is possible to correct different weights of risk indicators. The obtained results show less dispersion compared with other existing methods. Weak points with increased risk have been located, and an algorithm has been proposed for risk-based maintenance application and implementation.

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Tie-rods of the bucket wheel excavator slewing superstructure: A study of the eye plate stress state

Bošnjak

Zrnić

Momčilović

et al. 2020

Engineering Structures

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Service FMECA of a bucket wheel excavator

Cited by 7 publications

References 10 publications

Smart, ergonomic and sustainable mining machinery workplaces: An overview of the SmartMiner project

Smart, ergonomic and sustainable mining machinery workplaces: An overview of the SmartMiner project

Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM

Tie-rods of the bucket wheel excavator slewing superstructure: A study of the eye plate stress state

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