Reliability Engineering and Risk Analysis (3^rd Ed.) A Practical Guide, Third Edition

This undergraduate and graduate textbook provides a practical and comprehensive overview of reliability and risk analysis techniques. Written for engineering students and practicing engineers, the book is multi-disciplinary in scope. The new edition has new topics in classical confidence interval estimation; Bayesian uncertainty analysis; models for physics-of-failure approach to life estimation; extended discussions on the generalized renewal process and optimal maintenance; and further modifications, updates, and discussions. The book includes examples to clarify technical subjects and many end of chapter exercises. PowerPoint slides and a Solutions Manual are also available.

Reliability Engineering in Perspective. Basic Reliability Mathematics: Review of Probability and Statistics.Component Analysis. System Reliability Analysis. Reliability and Availability of Repairable Components and Systems. Selected Topics in Reliability Modeling. Selected Topics in Reliability Data Analysis. Risk Analysis

Mohammad Modarres has a well-established and extensive history of academic research, teaching, and administrative services at the A.J. Clark School of Engineering, University of Maryland. Early in his career, he proposed and established the Reliability Engineering Graduate Program. Subsequently, this program grew and now is a leading academic curriculum in reliability engineering and risk analysis in the world. During his academic career, he has served in a number of leadership roles, including director of the Center for Risk and Reliability, director of Nuclear Engineering Program, and leader of the Division of Design and Reliability of Systems at the Department of Mechanical Engineering. He is an expert in probabilistic risk assessment and management, uncertainty analysis, probabilistic physics of failure, and degradation and damage modeling of systems, structures, and components. His research areas include fatigue- and corrosion- based degradation assessment of airframes, nuclear reactor vessels, support structures, and piping of advanced nuclear plants using probabilistic physics of failure, including characterization of all uncertainties. His interests in reliability, integrity, prognosis, and health management of structures include theoretical as well as experimental and model development for condition monitoring and assessment of remaining useful life. He is an expert in probabilistic model development and updating using Bayesian inference methods, data fusion, and sensor-based big data analyses.

Dr. Modarres is a University of Maryland Distinguished Scholar-Teacher, a fellow of the American Nuclear Society, and a recipient of multiple awards. He earned his engineer’s degree, MS, and PhD in nuclear engineering from MIT, and MS in mechanical engineering also from MIT. For detailed publications and information about his research activities, visit http://www.modarres.umd.edu/.

Mark P. Kaminskiy is currently a principal reliability engineer at the