In this study we aim to do an analysis of the profitability and reliability of a system used primarily in Metro Train Networks consisting of a power cable rated for 33KV. The wires for the feed to each substation are laid in loops. As a starting point, two cables of the same voltage are laid with one being operational and another being a hot standby for backup. The moment the primary operational cable fails the backup cable immediately becomes operational. In the situation of a cable failure, it is considered if repairing the damaged cable can be done as opposed to repairing it. The moment both the operational as well as the back-up cables fail, the system is brought to a complete halt. Cable failures are categorized in two groups viz. irreparable failures & repairable failures. Regenerative Point Technique & Semi-Markov Processes are the methodologies used to derive the data that depicts real-failure situations or any other parameters of system effectiveness. This analysis is being done to enable multiple cases to detect and realize essential profit-analysis results for the system in question.
Diesel engine's complexity is a primary cause of breakdown or inability. Engine failure impacts device performance and thus efficiency. It often increases the cost of maintenance as the system goes down again and again. The main aim of this analysis is therefore to concentrate on aspects of the reliability and availability of diesel locomotive engines. For this reason, a large collection of observations is explored to evaluate the availability output of electrical assembly components. Weibull distribution is then used to analyse the reliability of the system and the rate of failure information that can be used in the rail industry to minimize unforeseen failures and to increase the reliability as well as the availability of diesel locomotives. A comparative study of Weibull distribution with the other distribution has been carried out to show the benefits of the Weibull distribution.
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