Название: What Every Engineer Should Know About Risk Engineering and Management, Second EditionАвтор: John X. Wang
Издательство: CRC Press
Год: 2023
Страниц: 265
Язык: английский
Формат: pdf (true)
Размер: 19.9 MB
Completely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively for complex systems that include Artificial Intelligence, Machine Learning, and Deep Learning. It enables engineering professionals to anticipate failures and highlight opportunities to turn failure into success through the systematic application of Risk Engineering. What Every Engineer Should Know About Risk Engineering and Management, Second Edition discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics, as it highlights how AI can present new and unique ways that failures can take place. The new edition extends the term "Risk Engineering" introduced by the first edition, to Complex Systems in the new edition. The book also relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition and introduces new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapter updates to make the book current.
Engineers begin their design endeavor by answering “what might work and what can go wrong”. Engineering designs are successful only to the extent that designers foresee and understand how a system may fail to perform its necessary functions. When designing a bridge, the engineer needs to know what loads could challenge the strength of the individual steel members. When designing a communication system, the engineer needs to predict what might cause connection problems within the communication network. When designing a steam boiler, the engineer needs to anticipate, for example, the failure scenarios that would build up pressure and cause a boiler explosion. The concept of risk combines chance for failure with the consequence caused by the failure. An essential element of risk is the uncertainty – the fact that engineers don’t know exactly what failures will occur and when and where the failures will occur.
Features:
- Discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics.
- Highlights how AI can present new and unique ways of failure that need to be addressed.
- Extends the term "Risk Engineering" introduced by the first edition to Complex Systems in this new edition.
- Relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition.
- Includes new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapters being updated to make the book more current.
The audience is the beginner with no background in Risk Engineering and can be used by new practitioners, undergraduates, and first-year graduate students.
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