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Dragline gear monitoring under fluctuating conditions

Dissertation (MEng)--University of Pretoria, 2008.

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Other Authors: Heyns, P.S. (Philippus Stephanus)
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Heyns, P.S. (Philippus Stephanus)
author_browse Heyns, P.S. (Philippus Stephanus)
author_facet Heyns, P.S. (Philippus Stephanus)
collection Thesis
dc_rights_str_mv © University of Pretoria 2007 E1064/
description Dissertation (MEng)--University of Pretoria, 2008.
format Thesis
id oai:repository.up.ac.za:2263/27587
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:39:40.578Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/27587 Dragline gear monitoring under fluctuating conditions Heyns, P.S. (Philippus Stephanus) Stander, Cornelius Johannes berndt.eggers@megchem.co.za Eggers, Berndt Leonard Computed order tracking Varying speed Rotation domain averaging Gear condition monitoring UCTD Dissertation (MEng)--University of Pretoria, 2008. The aim of this study is to apply computed order tracking with subsequent rotation domain averaging and statistical analysis to typical mining environments. Computed order tracking is a fault detection method that is unaffected by varying speed conditions often found in industry and has been proven effective in laboratory conditions. However in the controlled environment of a laboratory it is difficult to test the robustness of the order-tracking procedure. The need thus exists to adjust the order tracking procedure so that it will be effective in the mining environment. The procedure needs to be adjusted to function with a two pulse per revolution speed input. The drag gear aboard a dragline rotates in two directions. This gives the unique opportunity to observe the performance of the order tracking method in a bi-directional rotating environment allowing relationships between the results of each operating direction to be investigated. A monitoring station was set up aboard a dragline and data was captured twice daily for a period spanning one year. The data captured consisted of accelerometer and proximity sensor data. The key on the shaft triggers the proximity sensors allowing speed and direction to be measured. The rudimentary measured speed is interpolated using various documented speed interpolation techniques and by a newly developed speed interpolation technique. The interpolated speed is then used to complete the order tracking procedure that re-samples the vibration data with reference to the speed. The results indicate that computed order tracking can be successfully implemented in typical mining environments. Furthermore there is a distinct relationship between vibration data taken in both rotational directions: one direction provides a better indication of incipient failure. It is thus important not to choose a direction randomly when monitoring rotating machinery of this kind. Mechanical and Aeronautical Engineering unrestricted 2013-09-07T11:49:03Z 2008-09-10 2013-09-07T11:49:03Z 2008-04-18 2008-09-10 2008-08-27 Dissertation a 2007 E1064/gm http://hdl.handle.net/2263/27587 http://upetd.up.ac.za/thesis/available/etd-08272008-134253/ © University of Pretoria 2007 E1064/ application/pdf University of Pretoria
spellingShingle Computed order tracking
Varying speed
Rotation domain averaging
Gear condition monitoring
UCTD
Dragline gear monitoring under fluctuating conditions
title Dragline gear monitoring under fluctuating conditions
title_full Dragline gear monitoring under fluctuating conditions
title_fullStr Dragline gear monitoring under fluctuating conditions
title_full_unstemmed Dragline gear monitoring under fluctuating conditions
title_short Dragline gear monitoring under fluctuating conditions
title_sort dragline gear monitoring under fluctuating conditions
topic Computed order tracking
Varying speed
Rotation domain averaging
Gear condition monitoring
UCTD
url http://hdl.handle.net/2263/27587
http://upetd.up.ac.za/thesis/available/etd-08272008-134253/