|
Showing 1 - 9 of
9 matches in All Departments
This book surveys reliability, availability, maintainability and
safety (RAMS) analyses of various engineering systems. It
highlights their role throughout the lifecycle of engineering
systems and explains how RAMS activities contribute to their
efficient and economic design and operation. The book discusses a
variety of examples and applications of RAMS analysis, including: *
software products; * electrical and electronic engineering systems;
* mechanical engineering systems; * nuclear power plants; *
chemical and process plants and * railway systems. The wide-ranging
nature of the applications discussed highlights the
multidisciplinary nature of complex engineering systems. The book
provides a quick reference to the latest advances and terminology
in various engineering fields, assisting students and researchers
in the areas of reliability, availability, maintainability, and
safety engineering.
This book surveys reliability, availability, maintainability and
safety (RAMS) analyses of various engineering systems. It
highlights their role throughout the lifecycle of engineering
systems and explains how RAMS activities contribute to their
efficient and economic design and operation. The book discusses a
variety of examples and applications of RAMS analysis, including: *
software products; * electrical and electronic engineering systems;
* mechanical engineering systems; * nuclear power plants; *
chemical and process plants and * railway systems. The wide-ranging
nature of the applications discussed highlights the
multidisciplinary nature of complex engineering systems. The book
provides a quick reference to the latest advances and terminology
in various engineering fields, assisting students and researchers
in the areas of reliability, availability, maintainability, and
safety engineering.
This book describes the basic concepts of risk and reliability with
detailed descriptions of the different levels of probabilistic
safety assessment of nuclear power plants (both internal and
external). The book also maximizes readers insights into time
dependent risk analysis through several case studies, whilst risk
management with respect to non renewable energy sources is also
explained. With several advanced reactors utilizing the concept of
passive systems, the reliability estimation of these systems are
explained in detail with the book providing a reliability
estimation of components through mechanistic model approach. This
book is useful for advanced undergraduate and post graduate
students in nuclear engineering, aerospace engineering, industrial
engineering, reliability and safety engineering, systems
engineering and applied probability and statistics. This book is
also suitable for one-semester graduate courses on risk management
of non renewable energy systems in all conventional engineering
branches like civil, mechanical, chemical, electrical and
electronics as well as computer science. It will also be a valuable
reference for practicing engineers, managers and researchers
involved in reliability and safety activities of complex
engineering systems.
Reliability and safety are core issues that must be addressed
throughout the life cycle of engineering systems. Reliability and
Safety Engineering presents an overview of the basic concepts,
together with simple and practical illustrations. The authors
present reliability terminology in various engineering fields,
viz., electronics engineering, software engineering, mechanical
engineering, structural engineering and power systems engineering.
The book describes the latest applications in the area of
probabilistic safety assessment, such as technical specification
optimization, risk monitoring and risk informed in-service
inspection. Reliability and safety studies must, inevitably, deal
with uncertainty, so the book includes uncertainty propagation
methods: Monte Carlo simulation, fuzzy arithmetic, Dempster-Shafer
theory and probability bounds. Reliability and Safety Engineering
also highlights advances in system reliability and safety
assessment including dynamic system modeling and uncertainty
management. Case studies from typical nuclear power plants as well
as from structural, software and electronic systems are also
discussed. Reliability and Safety Engineering combines discussions
of the existing literature on basic concepts and applications with
state-of-the-art methods used in reliability and risk assessment of
engineering systems. It is designed to assist practicing engineers,
students and researchers in the areas of reliability engineering
and risk analysis.
Reliability and safety are core issues that must be addressed
throughout the life cycle of engineering systems. Reliability and
Safety Engineering presents an overview of the basic concepts,
together with simple and practical illustrations. The authors
present reliability terminology in various engineering fields,
viz., electronics engineering, software engineering, mechanical
engineering, structural engineering and power systems engineering.
The book describes the latest applications in the area of
probabilistic safety assessment, such as technical specification
optimization, risk monitoring and risk informed in-service
inspection. Reliability and safety studies must, inevitably, deal
with uncertainty, so the book includes uncertainty propagation
methods: Monte Carlo simulation, fuzzy arithmetic, Dempster-Shafer
theory and probability bounds. Reliability and Safety Engineering
also highlights advances in system reliability and safety
assessment including dynamic system modeling and uncertainty
management. Case studies from typical nuclear power plants as well
as from structural, software and electronic systems are also
discussed. Reliability and Safety Engineering combines discussions
of the existing literature on basic concepts and applications with
state-of-the-art methods used in reliability and risk assessment of
engineering systems. It is designed to assist practicing engineers,
students and researchers in the areas of reliability engineering
and risk analysis.
This book describes the basic concepts of risk and reliability with
detailed descriptions of the different levels of probabilistic
safety assessment of nuclear power plants (both internal and
external). The book also maximizes readers insights into time
dependent risk analysis through several case studies, whilst risk
management with respect to non renewable energy sources is also
explained. With several advanced reactors utilizing the concept of
passive systems, the reliability estimation of these systems are
explained in detail with the book providing a reliability
estimation of components through mechanistic model approach. This
book is useful for advanced undergraduate and post graduate
students in nuclear engineering, aerospace engineering, industrial
engineering, reliability and safety engineering, systems
engineering and applied probability and statistics. This book is
also suitable for one-semester graduate courses on risk management
of non renewable energy systems in all conventional engineering
branches like civil, mechanical, chemical, electrical and
electronics as well as computer science. It will also be a valuable
reference for practicing engineers, managers and researchers
involved in reliability and safety activities of complex
engineering systems.
The measurement of dependability attributes on real systems is a
very time-consuming and costly affair, making analytical or
simulation modeling the only viable solutions. Dependability of
Networked Computer-based Systems explores reliability, availability
and safety modeling of networked computer-based systems used in
life-critical applications such as avionics, nuclear power plants,
automobiles and chemical process industries. Dependability of
Networked Computer-based Systems gives an overview of basic
dependability modeling concepts and addresses new challenges in
dependability modeling of networked computer-based systems, as well
as new trends, their capabilities and limitations. It covers a
variety of dependability modeling methods: stochastic processes,
Markov and semi-Markov models, response-time distribution,
stochastic Petri-net-based modeling formalisms, and Monte Carlo
simulation models. Dependability of Networked Computer-based
Systems provides students and researchers with a detailed overview
of dependability models and analysis techniques. Practicing
engineers will also find this text a useful guide to
decision-making based on system dependability at the design,
operation and maintenance stages.
The measurement of dependability attributes on real systems is a
very time-consuming and costly affair, making analytical or
simulation modeling the only viable solutions. Dependability of
Networked Computer-based Systems explores reliability, availability
and safety modeling of networked computer-based systems used in
life-critical applications such as avionics, nuclear power plants,
automobiles and chemical process industries. Dependability of
Networked Computer-based Systems gives an overview of basic
dependability modeling concepts and addresses new challenges in
dependability modeling of networked computer-based systems, as well
as new trends, their capabilities and limitations. It covers a
variety of dependability modeling methods: stochastic processes,
Markov and semi-Markov models, response-time distribution,
stochastic Petri-net-based modeling formalisms, and Monte Carlo
simulation models. Dependability of Networked Computer-based
Systems provides students and researchers with a detailed overview
of dependability models and analysis techniques. Practicing
engineers will also find this text a useful guide to
decision-making based on system dependability at the design,
operation and maintenance stages.
Usage of plants as a medicine was the traditional system in India
which was followed by certain physicians to cure various disease
prevailing in the particular parts of the body, Medicinal plants
are used in the form of decotions, extracts, pills, surnas. Now- a
days, scientific proof is very much important to make the people to
believe the usage of plants as medicine. because of the adverse
effect of the allopathic medicines, now generations has started
toward using the plants to cure as well as to prevent the
occurrence of disease.
|
|