Statistical model of NBTI and reliability simulation for analogue circuits

Lv, Zhengliang; Milor, Linda; Yang, Shiyuan

doi:10.1016/j.microrel.2012.06.039

Cited by 1 publication

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Reliability Block Diagrams (Rbd)mentioning

confidence: 99%

“…An enhanced single-pass method for digital combinational circuit reliability analysis was introduced by Seyyed & Mohammadi (2011) [208]. LV et al (2012) [209] presented a framework for conducting analogue reliability simulations, enabling reliability to be addressed as early as the design phase. They also proposed a statistical model of Negative bias temperature instability (NBTI), which encompasses all the fluctuations resulting from circuit use conditions.…”

Section: Reliability Block Diagrams (Rbd)mentioning

confidence: 99%

See 1 more Smart Citation

A review of reliability techniques for the evaluation of Programmable logic controller

Obele,

Aikhuele,

Nwosu

2024

WJEEE

View full text Add to dashboard Cite

PLCs, or programmable logic controllers, are essential parts of contemporary industrial automation systems and are responsible for managing and keeping an eye on a variety of operations. PLC reliability is critical to maintaining industrial systems' continuous and secure operation. A wide range of reliability strategies were used to improve the reliability of Programmable Logic Controllers, and this article methodically looks at them all. The evaluation classified PLC reliability techniques into Root Cause Analysis (RCA), Reliability Centered Maintenance (RCM), Hazard analysis (HA), Reliability block diagram (RBD), Fault tree analysis (FTA), Physics of failure (PoF) and FMEA/FMECA, after thoroughly reviewing the body of literature. The proportion of reviewed papers using either RCA, RCM, FMEA/FMECA, FTA, RBD, RCM, PoF, or Hazard analysis to increase the reliability of PLCs showed that RCA, which makes up 20% of the publications reviewed, has been used the most to increase the reliability of the PLC, followed by HA, RCM, RBD, FTA, and PoF, which account for 17%, 16%, 16%,13%, 10%, and 8% of the articles reviewed, respectively. The paper discusses new developments and trends in PLC reliability, such as the application of machine learning (ML) and artificial intelligence (AI) to fault detection and predictive maintenance.

show abstract

Section: Reliability Block Diagrams (Rbd)mentioning

confidence: 99%

Section: Reliability Block Diagrams (Rbd)mentioning

confidence: 99%