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9th WCEAM Research Papers pp 119–130Cite as

Integrating Tacit Knowledge for Condition Assessment of Continuous Mining Machines

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Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Conventional condition monitoring places emphasis on selective measurements and analyses of physical parameters like acoustic noise, vibration, pressure and temperature but, this approach can be suboptimal in providing sufficient information for assessing the condition of an engineering asset. Starting from the definition of reliability, an exploratory investigation was conducted into how to integrate tacit experiential knowledge to assess the condition of continuous mining machines. Semi-structured interviews were conducted with engineers representing five different mine shafts involving more than 30 continuous mining machines. The respondents reiterate that experience of the specific operational environment improves the credibility of data and information derived from conventional condition monitoring of the physical parameters, reinforcing the view that tacit experiential knowledge is invaluable to assessment of the condition of engineering assets.

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Author information

Authors and Affiliations

  1. Department of Engineering and Technology Management, University of Pretoria, Pretoria, South Africa

    Joe Amadi-Echendu

  2. Joyglobal, eMalahleni, South Africa

    Marc de Smidt

Authors
  1. Joe Amadi-Echendu
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  2. Marc de Smidt
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Corresponding author

Correspondence to Joe Amadi-Echendu .

Editor information

Editors and Affiliations

  1. Department of Engineering and Technology Management, University of Pretoria, Pretoria, South Africa

    Joe Amadi-Echendu

  2. Dynacon Consulting Engineers (Pty) Ltd, Johannesburg, South Africa

    Changela Hoohlo

  3. Asset Institute, Brisbane, Queensland, Australia

    Joe Mathew

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© 2015 Springer International Publishing Switzerland

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Amadi-Echendu, J., de Smidt, M. (2015). Integrating Tacit Knowledge for Condition Assessment of Continuous Mining Machines. In: Amadi-Echendu, J., Hoohlo, C., Mathew, J. (eds) 9th WCEAM Research Papers. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-15536-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-15536-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15535-7

  • Online ISBN: 978-3-319-15536-4

  • eBook Packages: EngineeringEngineering (R0)

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