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An Overview of the Reliability Analysis Methods of Tunneling Equipment

Author(s):



Medium: journal article
Language(s): English
Published in: The Open Construction and Building Technology Journal, , n. 1, v. 14
Page(s): 218-229
DOI: 10.2174/1874836802014010218
Abstract:

The absolute prevention of damage occurrence is not possible, thus reducing the probability of failure in a system and its impact is very important regarding the operation of a whole system. A failure in a system or in its subsystems makes negative results such as the stop in the production process, rising labor costs, and increasing the cost of maintenance. Reliability, in recent years, is mentioned as one of the most significant aspects of the quality of goods and services. In the past, reliability concerned sensitive and complex industries such as military, nuclear, and aerospace where the lack of their reliability could cause irreparable damage to the entire system. However, today it has become a universal concern. Tunneling equipment has grown in size and complexity and therefore, lack of reliability may cause massive costs to this equipment. Therefore, reliability determination in order to identify the components and subsystems with low reliability is essential. The aim of this study is to review the methods of tunneling equipment reliability analysis including statistical analysis, failure mode and effects analysis, Markov and fault tree methods. In addition, previous available research on the reliability analysis of tunneling equipment is presented.

Copyright: © 2020 Sina Ahmadi, Mohsen Hajihassani, S. Moosazadeh, H. Moomivand
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10434372
  • Published on:
    11/09/2020
  • Last updated on:
    02/06/2021
 
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