Published by LAP LAMBERT Academic Publishing 2012-08-09, 2012
ISBN 10: 365910809X ISBN 13: 9783659108099
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Published by LAP LAMBERT Academic Publishing, 2012
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Published by LAP LAMBERT Academic Publishing, 2012
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Published by LAP LAMBERT Academic Publishing, 2012
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Published by LAP LAMBERT Academic Publishing, 2012
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Published by LAP LAMBERT Academic Publishing, 2012
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Published by LAP LAMBERT Academic Publishing, 2012
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Published by LAP LAMBERT Academic Publishing, 2012
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Raju N. V. S.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). H.
Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 365910809X ISBN 13: 9783659108099
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.