Application of IoT for the Maintaining Rolling Stocks

Abstract

Purpose: This paper presents a framework for simulation on IoT based CBM (condition based monitoring) for rolling stocks. This enables to allocate maintenance resources effectively while satisfying preventive maintenance requirements. Methodology/Approach:We exploits Reliability centered maintenance (RCM) based on KTX (Korea Tran eXpress, Korea's high-speed rail system) motor reduction unit failure data for three years by utilising the internet of things (IoT) and RAMS (Reliability, Availability, Maintainability, Safety) methods. Findings:We come up with the predictive maintenance indicator; reliability functions as to the desired service level; and the failure and defect prediction indicator takes the form of cumulative failure function in the form of probability distribution function, which aim to realise the real-time condition monitoring and maintaining technical support services. Internet of Things (IoT) has been an important apparatus to improve the maintenance efficiency.Research Limitation/implication: This paper has limitations that the data are collected from references, not actual data; the detailed descriptions of IoT application to the railway rolling stocks are omitted, and it is not dealt in depth how maintenance efforts and performance are improved through the suggested reliability centered maintenance. Originality/Value of paper:This study has the academic importance in a sense that it integrates RAMS based maintenance methods and IoT. RAMS centered maintenance provides powerful rules for deciding a failure management policy; when it is technically appropriate; and for providing precise criteria for deciding how often routine tasks should be carried out. It will lead to the improved cost efficiency, sustainability and maintainability of railway maintenance system since the staff do not have to visit installation sites frequently. Lately, there is general agreement that prevention was better than inspection and that an increase in preventive cost was the means of reducing total quality costs. In connection with this issue, we will address the way of reducing failure costs and prevention costs with IoT: new appraisal method.

WITHDRAWN: Implementation of Reliability Centered Maintenance (RCM) in the background of industry 4.0 –Issues, Challenges, and Opportunities

“…Similarly, machine learning and arti cial intelligence has been used in collaboration with RCM in industry 4.0 for the purpose of making convenient the maintenance task. In this regard, Cheng et al [15] developed an intelligent RCM based system that is leveraging arti cial intelligence for the predictive maintenance. They introduced casebased reasoning and rule-based reasoning methodologies for building intelligent RCM known as IRCMAS.…”

Model development synchronized with data mining for rolling stock maintenance strategy

“…4 Railway failure prediction is challenging due to a lack of real-time database availability, which lowers performance targets. 7 Many researchers have investigated on the areas of preventive maintenance and schedule rostering of rolling stock. In Table 1 the significant scientific contributions that support this study are listed.…”

Base Principles and Practices for Implementation of Total Productive Maintenance in Automotive Industry

“…Maintenance management is constantly encountered with an effort to be identified as a less important aspect of a complex organisation management (Antosz, 2018;Willmott and McCarthy, 2001;Pacaiova, et al 2012;Park, Kim and Won, 2017). It is possible to express the definition of maintenance management (if the definition of quality management is applied, STN ISO 9001, 2016) as follows: it represents a part of company management, the aim of which is optimisation of maintenance activities considering both material and human resources, support of manufacturing of the expected final product quality and safety of operation (if possible, defined by means of figure parameters) as well as support of prospective further growth and development of organisation -its goals.…”