Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Karkulali Pugalenthi"'
Publikováno v:
IEEE Access, Vol 9, Pp 135132-135143 (2021)
Prognostics and Health Management (PHM) plays a key role in Industry 4.0 revolution by providing smart predictive maintenance solutions. Early failure detection and prediction of remaining useful life (RUL) of critical industrial machines/components
Externí odkaz:
https://doaj.org/article/d0cb8f58e59a41e181190f26767035a2
Publikováno v:
IEEE Access, Vol 9, Pp 167292-167304 (2021)
High power white light emitting diodes (LEDs) are the widely opted eco-friendly alternate light source over incandescent lamps due to their lower power consumption and longer lifetime. The emerging market demand for LEDs brings about the critical nee
Externí odkaz:
https://doaj.org/article/2682e7b964b14a89ab5a9a04449e084d
Publikováno v:
IEEE Access, Vol 8, Pp 153508-153516 (2020)
Lithium-ion batteries are used as energy sources for energy storage systems, electric vehicles, consumer electronic devices and much more. Prediction of the remaining useful life (RUL) of such sources is vital to improve the safety and reliability of
Externí odkaz:
https://doaj.org/article/3c1d392ade604fafa8610c553c9d81f5
Publikováno v:
Sensors, Vol 22, Iss 10, p 3803 (2022)
With smart electronic devices delving deeper into our everyday lives, predictive maintenance solutions are gaining more traction in the electronic manufacturing industry. It is imperative for the manufacturers to identify potential failures and predi
Externí odkaz:
https://doaj.org/article/2a1ecd8f140841b8b17c71dc7e67f676
Autor:
Karkulali Pugalenthi, Pham Luu Trung Duong, Jaehyeok Doh, Shaista Hussain, Mark Hyunpong Jhon, Nagarajan Raghavan
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 6046 (2021)
Composite materials are extensively used in aircraft structures, wherein they are subjected to cyclic loads and subsequently impact-induced damages. Progressive fatigue degradation can lead to catastrophic failure. This highlights the need for an eff
Externí odkaz:
https://doaj.org/article/fe2cd372f7494faca06aa6350d0d8cd3
Publikováno v:
IEEE Access, Vol 9, Pp 135132-135143 (2021)
Prognostics and Health Management (PHM) plays a key role in Industry 4.0 revolution by providing smart predictive maintenance solutions. Early failure detection and prediction of remaining useful life (RUL) of critical industrial machines/components
Publikováno v:
Microelectronics Reliability. 138:114728
Autor:
Nagarajan Raghavan, Mark Hyunpong Jhon, Karkulali Pugalenthi, Pham Luu Trung Duong, Jaehyeok Doh, Shaista Hussain
Publikováno v:
Applied Sciences, Vol 11, Iss 6046, p 6046 (2021)
Applied Sciences
Volume 11
Issue 13
Applied Sciences
Volume 11
Issue 13
Composite materials are extensively used in aircraft structures, wherein they are subjected to cyclic loads and subsequently impact-induced damages. Progressive fatigue degradation can lead to catastrophic failure. This highlights the need for an eff
Publikováno v:
Microelectronics Reliability. 91:160-169
Prognostic health management (PHM) is a critical and essential aspect of any robust maintenance program in the manufacturing industry for early failure detection and prediction of the remaining useful life (RUL) for the entire system or for a compone
Publikováno v:
2018 Prognostics and System Health Management Conference (PHM-Chongqing).
Prognosis on microelectronics devices has gained wide attention due to its usability in wide range of applications. In this work, we have explored the degradation of Power MOSFETs due to thermal cycling and used the ON-resistance variation as the fai