REVIEW ARTICLE
An Overview of the Reliability Analysis Methods of Tunneling Equipment
Sina Ahmadi1, Mohsen Hajihassani1, *, S. Moosazadeh1, H. Moomivand1
Article Information
Identifiers and Pagination:
Year: 2020Volume: 14
Issue: Suppl-1, M3
First Page: 218
Last Page: 229
Publisher ID: TOBCTJ-14-218
DOI: 10.2174/1874836802014010218
Article History:
Received Date: 12/12/2019Revision Received Date: 09/01/2020
Acceptance Date: 01/02/2020
Electronic publication date: 24/08/2020
Collection year: 2020
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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.