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Shock and Damage Models in Reliability Theory
Units or systems can fail when they suffer shock and when the total damage exceeds a failure level. Shock and damage models describe catastrophic and degradation failures of units or systems and these reliability models are analyzed using the theory of stochastic processes. Shock and Damage Models in Reliability Theory is the first book to describe the reliability properties and maintenance policies associated with shock and damage models. The author is a leading researcher in this field with over thirty years’ experience. The book introduces stochastic processes before surveying current developments in shock and damage models. The reliability quantities of each model are explained and their optimization problems are discussed analytically. The maintenance policies of these models are explored in terms of maintenance theory and reliability theory and practical applications of all of these models are revealed with case studies. Reliability engineers and managers engaged in maintenance work will find Shock and Damage Models in Reliability Theory a comprehensive reference. As a detailed treatment of this specific area, this book will also be of interest to advanced undergraduate and graduate students and researchers who are studying reliability engineering and applied stochastic processes. Springer Series in Reliability Engineering publishes high-quality books in important areas of current theoretical research and development in reliability, and in areas that bridge the gap between theory and application in areas of interest to practitioners in industry, laboratories, business, and government.
Damage Models -- Basic Replacement Policies -- Replacement of Multiunit Systems -- Periodic Replacement Policies -- Preventive Maintenance Policies -- Imperfect Preventive Maintenance Policies -- Garbage Collection Policies -- Backup Policies for a Database System -- Other Related Stochastic Models.
Quality Control, Reliability, Safety and Risk
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Probability Theory and Stochastic Processes
Springer Series in Reliability Engineering