Human Reliability

Human reliability, error, and human factors in the area of power generation have been receiving increasing attention in recent years. Each year billions of dollars are spent in the area of power generation to design, construct/manufacture, operate, and maintain various types of power systems around the globe, and such systems often fail due to human error.

A continually evolving discipline, Human Reliability Assessment (HRA) has elements of controversy from the definition of terms to the application of appropriate methods for the representation of human failure probability. The idea that human error is a random event is falling out of favor and the concept that humans can be set up to fail or succeed depending on context is gaining credibility.

A continually evolving discipline, Human Reliability Assessment (HRA) has elements of controversy from the definition of terms to the application of appropriate methods for the representation of human failure probability. The idea that human error is a random event is falling out of favor and the concept that humans can be set up to fail or succeed depending on context is gaining credibility.

Human errors contribute significantly to most transportation crashes: approximately 70 to 90 percent of crashes are the result of human error. This book examines human reliability across all types of transportation systems.

Reliability and Risk Issues in Large Scale Safety-critical Digital Control Systems provides some important coverage of reliability issues and their corresponding countermeasures in the field of large-scale digital control systems, from the hardware and software in digital systems to the human operators who supervise the overall process of large-scale systems. Unlike other books which examine theories and issues in individual fields, this book reviews important problems and countermeasures across the fields of hardware and system reliability, software reliability, verification and validation, digital systems, human factors engineering and human reliability analysis.