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In coal mining, the load hauling dumpers move on roads for a longer duration and are so subjected to more number of times and longer durations of failures. Further, any small failures in these machines add to unpredictable loss and damages at times. In view of this, they have to be maintained properly. The Reliability Centered Maintenance (RCM) Models are better suitable than ordinary preventive maintenance techniques to control the failures. An effort is made in this direction through this book. The field data of failures (in terms of number of failures and tbf) for the past 3 years is…mehr

Produktbeschreibung
In coal mining, the load hauling dumpers move on roads for a longer duration and are so subjected to more number of times and longer durations of failures. Further, any small failures in these machines add to unpredictable loss and damages at times. In view of this, they have to be maintained properly. The Reliability Centered Maintenance (RCM) Models are better suitable than ordinary preventive maintenance techniques to control the failures. An effort is made in this direction through this book. The field data of failures (in terms of number of failures and tbf) for the past 3 years is collected and analyzed by using various statistical tools and RCM models to establish the maintenance frequency and scheduled accordingly with reliability orientation instead of mere time based maintenance. The trend analysis by both analytical/graphical methods provides a direction to determine if the failures are i.i.d. which in turn can be put in HPP or NHPP or Renewable Process depending exponential fit. The goodness of fit tests and reliability growth models can pave the way to calculate the maintenance intervals with reliability orientation.
Autorenporträt
Dr. N.V.S.Raju, a Ph.D. in Mechanical Engineering (specialized in RCM) from Osmania University, Hyderabad, India is currently Head, Dept of ME, JNTUHCEJ, India. He obtained B.E. (OU), M.Tech.(JNTUH) and MBA (Dr.BRAOU). He authored 12 books in the areas of Operations Research, Industrial Management, Maintenance & Reliability and 50 publications.