Comparison of Failure Duration and Failure Frequency of Mining Machines Using The Kruskal-Wallis H Test (One-Way Anova On Ranks) - Preliminary Research
Само за регистроване кориснике
2022
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Mining is considered one of the most risky industrial operations. Development and application of risk assessment methods has the greatest impact on improvements in terms of safety in mining equipment. Risk is analyzed in many aspects i.e. human factor, environmental impact and operational aspects. Analyzing the mining machinery is a way to determine which ones have the greatest tendency to fail. The aim of this research is to compare data on failures obtained from 348 mining machines. All machines are arranged in 7 groups, namely 50 excavators, 50 bulldozers, 48 drills, 50 dumpers, 50 backhoe loaders, 50 bucket wheel excavators and 50 loaders. In order to compare the data, it is necessary to first determine the distribution under which the data belong. That is achieved by using Kolmogorov-Smirnov test. After that the Kruskal-Wallis test was used to determine whether there is a relationship between the machines, viewed from the aspects of failure duration and failure frequency.
Кључне речи:
Risk assessment / Mining machinery / Kolmogorov – Smirnov normality test / Kruskal - Wallis H Test (one-way ANOVA on ranks)Извор:
XII International Conference Industrial Engineering and Environmental Protection 2022 (IIZS 2022), 2022, 93-Издавач:
- Zrenjanin, Technical faculty “Mihajlo Pupin”
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200105 (Универзитет у Београду, Машински факултет) (RS-MESTD-inst-2020-200105)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Perišić, Martina AU - Papić, Neda AU - Misita, Mirjana AU - Spasojević Brkić, Vesna AU - Janev, Nemanja PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4188 AB - Mining is considered one of the most risky industrial operations. Development and application of risk assessment methods has the greatest impact on improvements in terms of safety in mining equipment. Risk is analyzed in many aspects i.e. human factor, environmental impact and operational aspects. Analyzing the mining machinery is a way to determine which ones have the greatest tendency to fail. The aim of this research is to compare data on failures obtained from 348 mining machines. All machines are arranged in 7 groups, namely 50 excavators, 50 bulldozers, 48 drills, 50 dumpers, 50 backhoe loaders, 50 bucket wheel excavators and 50 loaders. In order to compare the data, it is necessary to first determine the distribution under which the data belong. That is achieved by using Kolmogorov-Smirnov test. After that the Kruskal-Wallis test was used to determine whether there is a relationship between the machines, viewed from the aspects of failure duration and failure frequency. PB - Zrenjanin, Technical faculty “Mihajlo Pupin” C3 - XII International Conference Industrial Engineering and Environmental Protection 2022 (IIZS 2022) T1 - Comparison of Failure Duration and Failure Frequency of Mining Machines Using The Kruskal-Wallis H Test (One-Way Anova On Ranks) - Preliminary Research SP - 93 UR - https://hdl.handle.net/21.15107/rcub_machinery_4188 ER -
@conference{ author = "Perišić, Martina and Papić, Neda and Misita, Mirjana and Spasojević Brkić, Vesna and Janev, Nemanja", year = "2022", abstract = "Mining is considered one of the most risky industrial operations. Development and application of risk assessment methods has the greatest impact on improvements in terms of safety in mining equipment. Risk is analyzed in many aspects i.e. human factor, environmental impact and operational aspects. Analyzing the mining machinery is a way to determine which ones have the greatest tendency to fail. The aim of this research is to compare data on failures obtained from 348 mining machines. All machines are arranged in 7 groups, namely 50 excavators, 50 bulldozers, 48 drills, 50 dumpers, 50 backhoe loaders, 50 bucket wheel excavators and 50 loaders. In order to compare the data, it is necessary to first determine the distribution under which the data belong. That is achieved by using Kolmogorov-Smirnov test. After that the Kruskal-Wallis test was used to determine whether there is a relationship between the machines, viewed from the aspects of failure duration and failure frequency.", publisher = "Zrenjanin, Technical faculty “Mihajlo Pupin”", journal = "XII International Conference Industrial Engineering and Environmental Protection 2022 (IIZS 2022)", title = "Comparison of Failure Duration and Failure Frequency of Mining Machines Using The Kruskal-Wallis H Test (One-Way Anova On Ranks) - Preliminary Research", pages = "93", url = "https://hdl.handle.net/21.15107/rcub_machinery_4188" }
Perišić, M., Papić, N., Misita, M., Spasojević Brkić, V.,& Janev, N.. (2022). Comparison of Failure Duration and Failure Frequency of Mining Machines Using The Kruskal-Wallis H Test (One-Way Anova On Ranks) - Preliminary Research. in XII International Conference Industrial Engineering and Environmental Protection 2022 (IIZS 2022) Zrenjanin, Technical faculty “Mihajlo Pupin”., 93. https://hdl.handle.net/21.15107/rcub_machinery_4188
Perišić M, Papić N, Misita M, Spasojević Brkić V, Janev N. Comparison of Failure Duration and Failure Frequency of Mining Machines Using The Kruskal-Wallis H Test (One-Way Anova On Ranks) - Preliminary Research. in XII International Conference Industrial Engineering and Environmental Protection 2022 (IIZS 2022). 2022;:93. https://hdl.handle.net/21.15107/rcub_machinery_4188 .
Perišić, Martina, Papić, Neda, Misita, Mirjana, Spasojević Brkić, Vesna, Janev, Nemanja, "Comparison of Failure Duration and Failure Frequency of Mining Machines Using The Kruskal-Wallis H Test (One-Way Anova On Ranks) - Preliminary Research" in XII International Conference Industrial Engineering and Environmental Protection 2022 (IIZS 2022) (2022):93, https://hdl.handle.net/21.15107/rcub_machinery_4188 .