Applied Reliability Engineering And Risk Analysis: Probabilistic Models And Statistical Inference (quality And Reliability Engineering Series)
by Anatoly Lisnianski /
2013 / English / PDF
3.7 MB Download
This book presents the latest developments in the field of
reliability science focusing on applied reliability, probabilistic
models and risk analysis. It provides readers with the most
up-to-date developments in this field and consolidates research
activities in several areas of applied reliability engineering. The
publication is timed to commemorate Boris Gnedenko’s centennial by
bringing together leading researchers, scientists, and
practitioners in the field of Prof. Gnednko’s expertise. The
Introduction, written by Prof. Igor Ushakov, a personal friend and
a colleague of Boris Gnedenko, explains the significant impact and
contribution Gnedenko’s work made on the reliability theory and the
modern reliability practice. The book covers conventional and
contemporary (recently emerged) topics in reliability science,
which have seen extended research activities in the recent
years. These topics include: degradation analysis and
multi-state system reliability; networks and large scale systems;
maintenance models; statistical inference in reliability, and;
physics of failures and reliability demonstration. All of these
topics present a great interest to researchers and practitioners,
having been extensively researched in the past years and covered at
a large number of international conferences and in a multitude of
journal articles. This book pulls together this information with a
coherent flow of chapters, and is written by the lead scientists,
researchers and practitioners in their respective fields. Logically
divided into five sections, each contains several chapters covering
theoretical and practical issues, while case studies support the
topics under discussion.
This book presents the latest developments in the field of
reliability science focusing on applied reliability, probabilistic
models and risk analysis. It provides readers with the most
up-to-date developments in this field and consolidates research
activities in several areas of applied reliability engineering. The
publication is timed to commemorate Boris Gnedenko’s centennial by
bringing together leading researchers, scientists, and
practitioners in the field of Prof. Gnednko’s expertise. The
Introduction, written by Prof. Igor Ushakov, a personal friend and
a colleague of Boris Gnedenko, explains the significant impact and
contribution Gnedenko’s work made on the reliability theory and the
modern reliability practice. The book covers conventional and
contemporary (recently emerged) topics in reliability science,
which have seen extended research activities in the recent
years. These topics include: degradation analysis and
multi-state system reliability; networks and large scale systems;
maintenance models; statistical inference in reliability, and;
physics of failures and reliability demonstration. All of these
topics present a great interest to researchers and practitioners,
having been extensively researched in the past years and covered at
a large number of international conferences and in a multitude of
journal articles. This book pulls together this information with a
coherent flow of chapters, and is written by the lead scientists,
researchers and practitioners in their respective fields. Logically
divided into five sections, each contains several chapters covering
theoretical and practical issues, while case studies support the
topics under discussion.
