Stochastic Renewal Process Model for Maintenance in Sudan - Eissa, Mohammedelameen
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This book comes as scientific and practical addition through stochastic model building for Renewal Process and the machine lifetime model which assist in precision for the future predication of the fault and setting plans to reduce it. This book aims to construct renewal process model and life time model for electricity generation machine in Sudan and to identify the probability distribution that used in lifetime test, the forecasting for the renewal period, construct data base according to the faults on yearly and monthly basis and the loss power due to the fault which result into electricity power stationary.…mehr

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Produktbeschreibung
This book comes as scientific and practical addition through stochastic model building for Renewal Process and the machine lifetime model which assist in precision for the future predication of the fault and setting plans to reduce it. This book aims to construct renewal process model and life time model for electricity generation machine in Sudan and to identify the probability distribution that used in lifetime test, the forecasting for the renewal period, construct data base according to the faults on yearly and monthly basis and the loss power due to the fault which result into electricity power stationary.
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Autorenporträt
Mohammedelameen Eissa Qurashi is currently working as an assistant professor at Sudan University of Science and Technology , faculty of Science, department of applied Statistics since 2006. Qualifications PhD. Statistics 2016, Msc. Applied statistics 2010, Bsc. Applied statistics 2006 Sudan University of Science and Technology.