1.

Record Nr.

UNINA9911019922003321

Autore

Sharma Garima

Titolo

Advanced Techniques for Maintenance Modeling and Reliability Analysis of Repairable Systems

Pubbl/distr/stampa

Newark : , : John Wiley & Sons, Incorporated, , 2023

©2023

ISBN

9781394174829

1394174829

9781394174836

1394174837

Edizione

[1st ed.]

Descrizione fisica

1 online resource (216 pages)

Altri autori (Persone)

RaiRajiv Nandan

Disciplina

620.00452

Soggetti

Reliability (Engineering)

Maintenance

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Cover -- Title Page -- Copyright Page -- Contents -- List of Figures -- List of Tables -- Preface -- Chapter 1 Maintenance, Repair, and Overhaul: A Preview --   1.1 Introduction --   1.2 Maintenance --   1.3 Repair --   1.4 Overhaul --     1.4.1 Overhauling: What Is It? --       1.4.1.1 Benefits of Overhauling --       1.4.1.2 Factors Determining the Performance of the Overhaul --       1.4.1.3 Overhauling of the System in Stages --   1.5 Chapter Summary --   References -- Chapter 2 Repairable Systems: An Overview --   2.1 Introduction to Repairable Systems and Its Terminologies --     2.1.1 Basics of Reliability Engineering --     2.1.2 Terminologies for Repairable Systems --   2.2 Maintenance Actions on Repairable Systems --     2.2.1 Reactive or Corrective Maintenance (CM) --     2.2.2 Proactive Maintenance --       2.2.2.1 Preventive Maintenance --       2.2.2.2 Predictive Maintenance --   2.3 Classifications of Maintenance Categories --     2.3.1 Perfect Maintenance --       2.3.1.1 Parametric Approach for Perfect Maintenance

Sommario/riassunto

This book focuses on advanced techniques for maintenance modeling and reliability analysis of repairable systems. It covers a wide range of



topics including maintenance, repair, and overhaul processes; reliability engineering principles; and various maintenance strategies such as corrective, preventive, and predictive maintenance. Additionally, the book delves into specific methodologies for analyzing censored data, identifying high failure rate components, and implementing age-based maintenance policies. The authors aim to provide industry professionals and researchers with practical tools and methodologies to enhance the reliability and performance of repairable systems.