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Developments in reliability engineering /

Modern systems have become increasingly complex to design and build, while the demand for reliability and cost-effective enhancement continues. Robust international competition has further intensified the need for all designers, managers, practitioners, scientists, and engineers to ensure a level of...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Ram, Mangey (Editor)
Format: eBook
Language:English
Published: [Place of publication not identified] : Elsevier, 2024.
Series:Advances in Reliability Science
Subjects:
Reliability (Engineering)
Fiabilité.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Intro
  • Developments in Reliability Engineering
  • Copyright
  • Contents
  • Contributors
  • Chapter 1: Experiences and advances in reliability in retail projects
  • 1.1. Introduction
  • 1.1.1. Background
  • 1.1.2. Problem statement
  • 1.1.3. Contributions
  • 1.1.4. Chapter organization
  • 1.2. Materials and methods
  • 1.2.1. Method description
  • 1.2.2. Method procedure
  • 1.2.3. Literature review
  • 1.2.4. Limitations
  • 1.3. Risk identification approach for system reliability
  • 1.3.1. Architecture-oriented risk identification
  • 1.3.2. Use case-oriented risk identification
  • 1.4. Fostering a homogeneous approach for retail stores
  • 1.4.1. Fostering a common approach
  • 1.4.2. Georgia-Pacific. Digital transformation
  • 1.4.3. World wide technology. About video pipeline processing
  • 1.4.4. ExxonMobil. A balance between workloads and security
  • 1.5. Trends and opportunities on AI and reliability retail
  • 1.6. Summary and conclusion
  • 1.6.1. Final words
  • 1.6.2. Conclusion
  • Acknowledgments
  • References
  • Chapter 2: Reliability for robotic assembly under uncertainties***
  • 2.1. Introduction
  • 2.2. System uncertainties in assembly operations
  • 2.2.1. Working conditions
  • 2.3. Robot control system
  • 2.3.1. Robot architecture and force sensing
  • 2.4. Force sensing implementation
  • 2.4.1. Sensor adaptor plate and gripper
  • 2.4.1.1. JR3 memory mapping
  • 2.4.2. Force representation
  • 2.4.3. F/T sensor features
  • 2.4.3.1. Rotation and translation
  • 2.4.3.2. Force/torque reading and pattern acquisition
  • 2.4.3.3. Sampling rate, signal filtering, and F/T data acquisition
  • 2.5. Quantifying system accuracy/uncertainty
  • 2.5.1. Resolution
  • 2.5.2. Accuracy
  • 2.5.3. Repeatability
  • 2.5.4. Uncertainties in the robot system
  • 2.5.5. Positional uncertainty
  • 2.5.6. Sensor uncertainty
  • 2.5.6.1. Cross-coupling error
  • 2.5.6.2. Signal drift
  • 2.5.6.3. Linearity
  • 2.6. Reliability in chamferless and chamfered assemblies
  • 2.6.1. Prior settings
  • 2.6.2. Knowledge of the environment-Primitive knowledge base (PKB)
  • 2.6.3. Chamfered peg-in-hole insertion
  • 2.6.3.1. Circular chamfered peg insertion
  • 2.6.4. Chamferless peg-in-hole insertion
  • 2.6.4.1. Circular chamferless peg insertion
  • Failure due to rotational offset
  • Handling higher offsets
  • 2.7. Conclusions
  • Acknowledgment
  • References
  • Chapter 3: Quality control and inspection reliability of the PCB manufacturing process through convolutional networks
  • 3.1. Introduction
  • 3.2. Background
  • 3.2.1. Homography
  • 3.3. PCB manufacturing and case study
  • 3.3.1. Case study
  • 3.3.2. Soldering of electronic components manually
  • 3.3.3. Fault detection in PCBs
  • 3.3.4. Vision systems based on artificial neural networks
  • 3.3.5. Fault detection in PCBs
  • 3.4. Quality control
  • 3.4.1. Some defects
  • 3.5. Data base and vision system
  • 3.5.1. Vision station
  • 3.6. The CNN architecture