Conference Papers

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    Reliability Analysis of LHD Machine - A Case Study
    (Springer Nature, 2020) BalaRaju, J.; Govinda Raj, M.; Murthy, C.S.N.
    In the present global scenario, survival of the industry is more critical unless it produces their intended targets. Accomplishment of expected rate of production levels are depends on the performance of equipment. Hence, it is very important to predict the maintenance schedules for replacement or repair actions of the defective parts. Keeping in view, every industry is constantly looking for enhancement equipment life. Reliability analysis is one of the well appropriated techniques used to estimate the life of the equipment. In this paper, performance of Load-Haul-Dumper (LHD) has been analyzed. Renewal process approach has been utilized for reliability investigation. Best fit distribution of data sets were made by the utilization of Kolmogorov-Smirnov (K-S) test. Parametric estimation of theoretical probability distributions was done by utilizing Maximum Likelihood Estimate (MLE) method. Reliability of each individual sub-system has been computed according to the best fit distribution. In addition to that, reliability based preventive maintenance (PM) time schedules were calculated for the expected 90% reliability level. The possible recommendations were suggested for improvement of reliability level. © 2020, Springer Nature Switzerland AG.
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    Identification of Reliability for an Automobile Sub-system Maruti Suzuki Alto
    (Springer Science and Business Media Deutschland GmbH, 2023) Varghese, L.; Jain, P.
    The present work aims to develop a statistical model to assess the reliability of different cars of the same model number. The input data were collected based on fault identification from an automobile service station. The data collection is categorized according to the distance covered by the cars, and this covered distance further converted into time function by considering the speed of cars as 60 km (km)/hour (hr). The data collection was categorized into three categories: (i) up to 25,000, (ii) 25,001–50,000 and (iii) 50,001–75,000 km’s to identify the various parameters of the study. To calculate the reliability, the Weibull distribution of two parameters, slope and scale was selected and applied. Results of reliability in terms of clutch, brake and suspension were calculated, and remedies were also suggested based on data received from the analysis. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.