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.
Identification of Reliability for an Automobile Sub-system Maruti Suzuki Alto
Lect.Notes Mechanical Engineering
International Conference on Sustainable Technologies and Advances in Automation, Aerospace and Robotics ; 2022 December 16, 2022 - December 17, 2022
21.07.2023
14 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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