Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item 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.