Developments in Reliability Engineering

1. Experiences and advances on reliability in retail projects<br>2. Reliability for robotic assembly under uncertainties<br>3. Quality control and inspection reliability of the PCB manufacturing process through convolution networks<br>4. Review on mechanical system reliability models<br>5. AI approach to fault big data analysis for OSS recovery<br>6. Studying the limits of the application of fatigue damage accumulation linear hypothesis: The review and the physical<br>7. Multistate systems reliability engineering in the maritime industry<br>8. Modified repair quality index for complex repairable systems <br>9. System reliability methods of complex coal-fired power plants in the western Balkans countries: A critical review<br>10. Influence of condition diagnostics models on the reliability of industrial production systems: A critical review<br>11. Multistate-weighted systems and consecutive-type-weighted systems: An overview and some applications<br>12. Time-varying robust reliability-based design optimization<br>13. Reliability and availability simulation<br>14. Availability analysis of non-Markovian models with rejuvenation and checkpointing<br>15. Replacement models with fixed and random replacement times<br>16. Machine learning-based cure model in engineering reliability<br>17. An analysis of one-shot devices with multiple components<br>18. Reliability and availability evaluation of cloud data center Infrastructure<br>19. Survey of software reliability assessment tools<br>20. On the quality of maintenance: The forgotten issue<br>21. G-Star-shaped degrading processes: The closure property of multistate systems and the minimum property in the binary-state Weibull case<br>22. Life testing plan for electronic components based on design of experiments<br>23. Overview of the algebraic reliability of binary and multistate k-out-of-n and related systems<br>24. Overview and comparison of reliability analysis techniques based on multifidelity Gaussian processes<br>25. Intelligent reliability-based design optimization: Past and future research trends<br>26. Grey Wolf Optimizer: A powerful, nature inspired technique for system reliability optimization