Human-in-the-loop : probabilistic modeling of an aerospace mission outcome /: probabilistic modeling of an aerospace mission outcome. ([2018])
- Record Type:
- Book
- Title:
- Human-in-the-loop : probabilistic modeling of an aerospace mission outcome /: probabilistic modeling of an aerospace mission outcome. ([2018])
- Main Title:
- Human-in-the-loop : probabilistic modeling of an aerospace mission outcome
- Further Information:
- Note: Ephraim Suhir.
- Authors:
- Suhir, Ephraim
- 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 QuestionsCover; 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 … (more)
- Publisher Details:
- Boca Raton, FL : CRC Press
- Publication Date:
- 2018
- Copyright Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 629.1
Aeronautics -- Human factors
Systems engineering -- Simulation methods
Probabilities
TECHNOLOGY & ENGINEERING / Engineering (General)
Electronic books - Languages:
- English
- ISBNs:
- 9781351132497
1351132490 - Related ISBNs:
- 9780815354550
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on online resource; title from PDF title page (EBSCO, viewed April 4, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Physical Locations:
- British Library HMNTS - ELD.DS.274867
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