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Human-in-the-loop : probabilistic modeling of an aerospace mission outcome

Author: Ephraim Suhir
Publisher: Boca Raton, FL : CRC Press, [2018] ©2018
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"Improvements in safety in the air and in space can be achieved through better ergonomics, better work environments, and other efforts of the traditional avionic psychology that directly affect human behaviors and performance. Not limited to just the aerospace field, this book discusses adaptive probabilistic predictive modeling in human-in-the-loop situations. This involves situations where human performance and  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ephraim Suhir
ISBN: 9781351132497 1351132490 9781351132503 1351132504
OCLC Number: 1030303241
Description: 1 online resource
Contents: Cover; Half Title; Title Page; Copyright Page; Table of Contents; Preface; Author; 1. Introduction: Probabilistic Modeling Approach in Aerospace Engineering; 2. Fundamentals of Applied Probability; 2.1 Random Events; 2.2 Algebra of Events; 2.3 Discrete Random Variables; 2.3.1 Probability Characteristics; 2.3.2 Poisson Distribution; 2.4 Continuous Random Variables; 2.4.1 Probability Characteristics; 2.4.2 Bayes Formula for Continuous Random Variables; 2.4.3 Bayes Formula as a Technical Diagnostics Tool; 2.4.4 Uniform Distribution; 2.4.5 Exponential Distribution. 2.4.6 Normal (Gaussian) Distribution2.4.7 Rayleigh Distribution; 2.4.8 Weibull Distribution; 2.4.9 Beta-Distribution; 2.4.10 Beta-Distribution as a Tool for Updating Reliability Information; 2.5 Functions of Random Variables; 2.6 Extreme Value Distributions; 3. Helicopter-Landing-Ship and the Role of the Human Factor; 3.1 Summary; 3.2 Introduction; 3.3 Probability That the Operation Time Exceeds a Certain Level; 3.4 Probability That the Duration of Landing Exceeds the Duration of the Lull; 3.5 The Probability Distribution Function for the Extreme Vertical Velocity of Ship's Deck. 3.6 Allowable Landing Velocity When Landing on a Solid Ground3.7 Allowable Landing Velocity When Landing on a Ship Deck; 3.8 The Probability of Safe Landing on a Ship's Deck; 3.9 Conclusions; References; 4. Fundamentals of Probabilistic Aerospace Electronics Reliability Engineering; 4.1 Today's Practices: Some Problems Envisioned and Questions Asked; 4.2 Accelerated Testing; 4.3 PDfR and Its Major Principles ("10 Commandments"); 4.4 FOAT ("Transparent Box") as an Extension of HALT ("Black Box"); 4.5 Design for Reliability of Electronics Systems: Deterministic and Probabilistic Approaches. 4.6 Two Simple PDfR Models4.7 BAZ Model: Possible Way to Quantify Reliability; 4.8 Multiparametric BAZ Model; 4.9 The Total Cost of Reliability Could Be Minimized: Elementary Example; 4.10 Possible Next Generation of the Qualification Tests (QTs); 4.11 Physics-of-Failure BAZ Model Sandwiched between Two Statistical Models: Three-Step Concept; 4.11.1 Incentive/Motivation; 4.11.2 Background; 4.11.3 TSC in Modeling Aerospace Electronics Reliability; 4.11.3.1 Step 1: Bayes Formula as a Suitable Technical Diagnostics Tool; 4.11.3.2 Step 2: BAZ Equation as Suitable Physics-of-Failure Tool. 4.11.3.3 Step 3: Beta-Distribution as a Suitable Reliability Update Tool4.11.3.4 Step 1: Application of Bayes Formula; 4.11.3.5 Step 2: Application of BAZ Equation; 4.11.3.6 Step 3: Application of Beta-Distribution; 4.12 Conclusions; References; 5. Probabilistic Assessment of an Aerospace Mission Outcome; 5.1 Summary; 5.2 Introduction; 5.3 DEPDF of Human Nonfailure; 5.4 Likelihood of the Vehicular Mission Success and Safety; 5.5 Equipment (Instrumentation) Failure Rate; 5.6 Human Performance Failure Rate; 5.7 Weibull Law.
Responsibility: Ephraim Suhir.

Abstract:

"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."  Read more...

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"Reliability and safety have risen to the forefront of aerospace and avionic industry. Dr Suhir, a prolific author and a leading expert in probabilistic predictive modeling, has addressed the Read more...

 
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