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Human Detection and Diagnosis of System Failures

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Cover of 'Human Detection and Diagnosis of System Failures'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Real Life Perspectives
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    Chapter 3 Understanding Human Error and Aiding Human Diagnostic Behaviour in Nuclear Power Plants
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    Chapter 4 Commercial Air Crew Detection of System Failures: State of the Art and Future Trends
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    Chapter 5 Ship Navigational Failure Detection and Diagnosis
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    Chapter 6 Troubleshooting in the Commercial Computer Industry: A Success Story
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    Chapter 7 Tools for Debugging Computer Programs — How much do They Help?
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    Chapter 8 Field Experience in Maintenance
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    Chapter 9 Theories and Models
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    Chapter 10 Monitoring vs. Man-in-the-Loop Detection of Aircraft Control Failures
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    Chapter 11 Failure Detection in Dynamic Systems
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    Chapter 12 A Model of Human Fault Detection for Complex Dynamic Processes
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    Chapter 13 The Role of Attention in the Detection of Errors and the Diagnosis of Failures in Man-Machine Systems
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    Chapter 14 Experimental Studies and Mathematical Models of Human Problem Solving Performance in Fault Diagnosis Tasks
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    Chapter 15 System Complexity, Diagnostic Behaviour, and Repair Time: A Predictive Theory
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    Chapter 16 Models of Diagnostic Judgments
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    Chapter 17 Models of Mental Strategies in Process Plant Diagnosis
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    Chapter 18 Mathematical Equations or Processing Routines?
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    Chapter 19 Task Analysis and Activity Analysis in Situations of Field Diagnosis
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    Chapter 20 Models and Experimental Results Concerning the Detection of Operator Failures in Display Monitoring
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    Chapter 21 Towards a Theory of Qualitative Reasoning about Mechanisms and its Role in Troubleshooting
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    Chapter 22 System Design and Operator Support
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    Chapter 23 Fault Management and Supervisory Control of Decentralized Systems
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    Chapter 24 Computer Support for Diagnostic Tasks in the Process Industries
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    Chapter 25 Application of Pattern Recognition to Failure Analysis and Diagnosis
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    Chapter 26 The use of Flow Models for Automated Plant Diagnosis
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    Chapter 27 Discriminative Display Support for Process Operators
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    Chapter 28 Disturbance Analysis Systems
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    Chapter 29 Automatic Error Detection and Error Recording of a Distributed, Fault-Tolerant Process Computer System
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    Chapter 30 The user’s Role in Automated Fault Detection and System Recovery
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    Chapter 31 Aiding Process Plant Operators in Fault Finding and Corrective Action
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    Chapter 32 A Method for Optimizing Human Performance in Detecting and Diagnosing Mission Avionics Faults
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    Chapter 33 Training
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    Chapter 34 Training for Fault Diagnosis in Industrial Process Plant
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    Chapter 35 A Fault-Finding Training Programme for Continuous Plant Operators
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    Chapter 36 The Role of Computers in Training for Problem Diagnosis
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    Chapter 37 Computer-Based Maintenance Training in the Military
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    Chapter 38 A General-Purpose System for Simulating and Training Complex Diagnosis and Troubleshooting Tasks
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    Chapter 39 Adaptive Computer Training System (ACTS) for Fault Diagnosis in Maintenance Tasks
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    Chapter 40 Scat: System Control Analysis and Training Simulator
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    Chapter 41 Summary of Workshop Discussions
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Title
Human Detection and Diagnosis of System Failures
Published by
Springer US, January 1981
DOI 10.1007/978-1-4615-9230-3
ISBNs
978-1-4615-9232-7, 978-1-4615-9230-3
Editors

Rasmussen, Jens, Rouse, William B.

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X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Canada 1 2%
Australia 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Researcher 7 15%
Student > Ph. D. Student 7 15%
Professor 5 11%
Student > Bachelor 3 7%
Other 8 17%
Unknown 8 17%
Readers by discipline Count As %
Engineering 15 33%
Computer Science 7 15%
Psychology 5 11%
Social Sciences 4 9%
Materials Science 1 2%
Other 1 2%
Unknown 13 28%