Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Review of Trend Tests for Detection of Wear Out Period for Mining Machineries
Date
2015-04-17
Author
Gölbaşı, Onur
Demirel, Nuray
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
280
views
0
downloads
Cite This
Machinery systems are extensively utilized in all mining stages from beginning to end of ore production. They are capital-intensive systems and substantial amount of money is spent annually to keep their functionalities in desired levels. Therefore, implementation of effective maintenance strategy has a vital importance to prevent unexpected breakdowns due to failures and to minimize operational cost. These maintenance strategies can be constituted effectively regarding functional and structural dependencies between system components and forecasting their expected lifetimes and deterioration rates over time. However, forecasting of expected failures can fail due to aging trend in system components. This paper summarizes qualitative and quantitative trend tests in detection of wear-out period where system starts to age. In the paper, two separate graphical methods are investigated in qualitative analysis of data trend behavior where hypothesis testing techniques such as Crow/AMSAA, Laplace, Lewis-Robinson, and Reversal Arrangement and indirect trend test using imperfect maintenance concept are examined as quantitative tests. Implementation of all test are supported via their theoretical backgrounds and numerical examples.
Subject Keywords
Wear-out period
,
Qualitative and quantitative lifetime trend tests
,
Imperfect maintenance
URI
https://hdl.handle.net/11511/55954
Conference Name
24th INTERNATIONAL MINING CONGRESS OF TURKEY
Collections
Department of Mining Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Determination of optimum overall slope angle for an open pit iron mine
Akdağ, Selahattin; Başarır, Hakan; Department of Mining Engineering (2015)
Currently, vast majority of the mineral extraction is conducted by open pit mining operations. With the improvements in mining industry, mines have become progressively deeper leading to slope stability problems. Therefore, slope stability assessment has gained more significance for geotechnical engineering. Moreover, deepening the open pit mines has revealed the necessity of designing optimized slopes with regard to the economic viability. Steepening the ultimate slope of an open pit as much as possible mi...
Preliminary estimation of rock mass strength using diamond bit drilling operational parameters
BASARIR, H.; Karpuz, Celal (2016-03-03)
In many mining engineering applications such as prospecting, development, production and grouting, diamond bit drilling is widely used due to high penetration rate, core recovery and its ability to drill with less deviation. It has been well known that the operational parameters of diamond bit drilling are closely related with rock mass strength properties. One of the most widely discussed subjects in drilling is the possibility of using diamond drill bit operational parameters for preliminary estimation of...
Development of a dynamic maintenance algorithm with multiple scenarios: a case study for surface mining
Ölmez Turan, Merv; Gölbaşı, Onur; Department of Mining Engineering (2019)
Surface mining operations such as ore extraction and overburden stripping activities highly depend on machine performance. These machines’ operational plan aims to handle required amount of material within a specific period with the lowest maintenance cost and the highest availability. In order to achieve these objectives, the machines should be adapted to the production schedule properly. On this basis, maintenance policies play crucial roles in the sustainability of operations. A maintenance policy is bas...
Microscopic fuel consumption modelling for haulage trucks using discrete-event simulation
Kına, Elif; Gölbaşı, Onur; Department of Mining Engineering (2021-2-5)
Mining is one of the machine-intensive sectors, and a vast amount of energy is consumed in many stages of mining operations. Among these operations, haulage systems hold a significant share in energy consumption. At this point, diesel fuel, a form of fossil fuel, is frequently used for haul trucks such that fuel-induced cost becomes a major contributor to the operating cost, especially in surface mining. Fuel consumption also leads to greenhouse gas emissions, in addition to its financial burden. Therefore,...
Investigation of the particle breakage parameters in locked-cycle ball milling
Acar, Cemil; Hoşten, Çetin; Department of Mining Engineering (2012)
Size reduction processes, particularly fine grinding systems, in mineral processing and cement production plants constitute a great portion of energy consumption and operating costs. Therefore, the grinding systems should be designed properly and operated under optimum conditions to achieve productive and cost effective operations. The use of simulation based on kinetic mathematical models of grinding has proven useful in this respect. The kinetic models contain two essential parameters, namely, breakage ra...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. Gölbaşı and N. Demirel, “Review of Trend Tests for Detection of Wear Out Period for Mining Machineries,” presented at the 24th INTERNATIONAL MINING CONGRESS OF TURKEY, Antalya, TURKEY, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55954.