TY - JOUR
T1 - Review of Health Prognostics and Condition Monitoring of Electronic Components
AU - Bhargava, Cherry
AU - Sharma, Pardeep Kumar
AU - Senthilkumar, Mohan
AU - Sanjeevikumar, Padmanaban
AU - Ramachandaramurthya, Vigna K.
AU - Leonowicz, Zbigniew
AU - Blaabjerg, Frede
AU - Mitolo, Massimo
PY - 2020/4
Y1 - 2020/4
N2 - To meet the specifications of low cost, highly reliable electronic devices, fault diagnosis techniques play an essential role. It is vital to find flaws at an early stage in design, components, material, or manufacturing during the initial phase. This review paper attempts to summarize past development and recent advances in the areas about green manufacturing, maintenance, remaining useful life (RUL) prediction, and like. The current state of the art in reliability research for electronic components, mainly includes failure mechanisms, condition monitoring, and residual lifetime evaluation is explored. A critical analysis of reliability studies to identify their relative merits and usefulness of the outcome of these studies' vis-a-vis green manufacturing is presented. The wide array of statistical, empirical, and intelligent tools and techniques used in the literature are then identified and mapped. Finally, the findings are summarized, and the central research gap is highlighted.
AB - To meet the specifications of low cost, highly reliable electronic devices, fault diagnosis techniques play an essential role. It is vital to find flaws at an early stage in design, components, material, or manufacturing during the initial phase. This review paper attempts to summarize past development and recent advances in the areas about green manufacturing, maintenance, remaining useful life (RUL) prediction, and like. The current state of the art in reliability research for electronic components, mainly includes failure mechanisms, condition monitoring, and residual lifetime evaluation is explored. A critical analysis of reliability studies to identify their relative merits and usefulness of the outcome of these studies' vis-a-vis green manufacturing is presented. The wide array of statistical, empirical, and intelligent tools and techniques used in the literature are then identified and mapped. Finally, the findings are summarized, and the central research gap is highlighted.
KW - Reliability methods
KW - condition monitoring
KW - faults and failiures
KW - prognostics
KW - diagnostics
UR - http://www.scopus.com/inward/record.url?scp=85084511007&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2020.2989410
DO - 10.1109/ACCESS.2020.2989410
M3 - Journal article
SN - 2169-3536
VL - 8
SP - 75163
EP - 75183
JO - IEEE Access
JF - IEEE Access
M1 - 9075164
ER -