Abstract: This paper describe the RAMS program implementation through the life cycle phases considering the RAMS sucess factor elements, the RAMS guidelines, procedures as wel as RAMS methods that shall be implemented in each life cycle phase.
Abstract: The Lifetime Data Analysis aims to predict the asset reliabiltiy, maintainability and other indexres based on historical failure data and by applying complex statistical methods. The paer demostrate the LDA methodology step by step by using a software tool and give a real case example of balise LDA.
Abstract: This paper aims to demonstrate the application of RAM analysis for railway industry as part of RAMS program implementation, which enable to predict the railways asset reliability, availability and maintainability in different levels, such as system, subsystem, equipment and component by taking into account the relation to each part failure to the impact to the hhigh level system. In order to exemplify the RAM analysis methodology, the case studies applied to critical equipment such as pantograph will be presented at the end of this chapter.
Abstract: The paper present the RCM methodology that aims to defien the preventive maintenance task of an asset in order to prevent the failrues and cosequently mitigate the risk of accident, reduce the OPEX and maintain the asset performance.
Abstract: This paper aims to demonstrate the application of ILS analysis for railway industry as part of RAMS program implementation, which enable to predict the effect of the logistic on the railways asset performance. The basis for the ILS are the main RAM methods such as LDA, RAM, FMEA and RCM results as discussed in previous chapters. Therefore, the spare parts level, the level of repair analysis, life cycle cost and supportability analysis will be the main topics of this paper. Finally, the case study concerning ILS concepts applied to critical equipment such as pantograph will be presented at the end of this paper.
Abstract: Despite of all knowledge about reliability engineering as well as software tools develop in the last 10 years to perform proper reliability analysis, still the same mistakes has been occurring in different projects concerning reliability analysis. Specially in Quantitative methods such as Lifetime Data Analysis, RAM analysis, Reliability Growth Analysis a lot of misunderstanding and misuse of correct terms has been taking place in many projects during design in the Railway industry as well as others industries. This papers aims to clarify the 10 most common mistakes that reliability engineers can not do when performing reliability analysis:
Key Words: MTTF, Reliability, Operational availability, Life cycle cost, QALT, HALT