earth pressure balance tunnel boring machines (epb-tbms) are favorably applied in urban tunneling projects. despite their numerous advantages, considerable delays and high maintenance cost are the main disadvantages these machines suffer from. reliability, availability, and maintainability (ram) analysis is a practical technique that uses failure and repair dataset obtained over a reasonable ti...

greater levels of complexity in tunnelling with tunnel boring machine (tbm) allow higher chances of failures that may increase the potential hazardous risks. this paper presents the results of a study on tbm reliability using risk analysis. machinery failure mode and effect analysis was applied to analyze the risks of a tbm using qs9000 and sae.j1739 recommendations. for this purpose, 48 failur...

in order to implement the cellular manufacturing system in practice, some essential factors should be taken into account. in this paper, a new mathematical model for cellular manufacturing system considering different production factors including alternative process routings and machine reliability with stochastic arrival and service times in a dynamic environment is proposed. also because of t...

Along with the social development, CNC machine tool is becoming more and more complex in its structure, while its reliability is becoming more and more important in the market. Since CNC machine tool functional reliability is more significant than its mechanical structural reliability, and the whole machine tool system’s functional reliability is guaranteed by every meta-action’s reliability, a...

Earth pressure balance tunnel boring machines (EPB-TBMs) are favorably applied in urban tunneling projects. Despite their numerous advantages, considerable delays and high maintenance cost are the main disadvantages these machines suffer from. Reliability, availability, and maintainability (RAM) analysis is a practical technique that uses failure and repair dataset obtained over a reasonable ti...

Much machine learning research addresses inductive learning — learning relationships from a set of examples (Michalski (1986) provides an excellent introduction). For instance, some programs have been used to learn medical diagnostic rules from a database of patients whose diagnoses are known. These programs examine a number of attributes (e.g. age, temperature, and pulse rate) for a set of exa...

In this paper the Kamat-Riley (K-R) event-based Monte Carlo simulation method was used for reliability analysis of longwall shearer machine. Shearer machine consists of six subsystems; water, haulage, electrical, hydraulic, cutting arms and cable systems in a series network configuration. A shearer in the Tabas coal mine was selected as case study and its all failure data were collected and use...