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.

Highlights

  • The increasing rate of mechanization and automation in tunneling equipment in recent decades has made it increasingly important to obtain reliable operating systems in these industries

  • The results of this study indicated that the most critical subsystem of the drum shearer machine is water spray in which its reliability reaches zero before other subsystems

  • The results showed that the reliability of the pneumatic system and subsystems A and B reached 80% after about 7 hours, subsystem C after about 103 hours, and subsystem D after 44 hours of drilling

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Summary

Introduction

The increasing rate of mechanization and automation in tunneling equipment in recent decades has made it increasingly important to obtain reliable operating systems in these industries. These systems are composed of different and interconnected subsystems whose performance is mainly influenced by the availability, reliability, reparability, and capacity of the subsystems [1]. Engineers and technical managers in a modern society are responsible for planning, designing, building, and operating from the simplest product to the most sophisticated systems. Products and systems are expected to be reliable and secure. Reliability is a general engineering index to evaluate the confidence of the performance of different engineering systems. The index is widely used in all branches of science and technology, including aerospace engineering, military weapons engineering, telecommunications engineering, nuclear power plants, transportation networks, and power transmission networks. [2]

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