TY - JOUR
T1 - Guest Editorial of the Special Section on Advances in Neural Computing-Enabled Device Health Management for Consumer Technology
AU - Wang, Yu
AU - Yang, Zhe
AU - Zhang, Bin
AU - Sun, Yanxia
N1 - Publisher Copyright:
© 1975-2011 IEEE.
PY - 2025
Y1 - 2025
N2 - Consumer technology has undergone an evolution from simple manually operated devices to complex intelligent systems that integrate seamlessly into daily life. The rapid proliferation and integration of consumer technology in our daily lives has brought about the need for more elaborative development of health management systems to ensure device reliability, resilience, and longevity. Unexpected failures of consumer technology, including both hardware and software, can lead to significant inconvenience in daily lives and work, financial costs, health and safety risks for users, increased warranty and repair costs, brand reputation damage, and legal issues for manufacturers.
AB - Consumer technology has undergone an evolution from simple manually operated devices to complex intelligent systems that integrate seamlessly into daily life. The rapid proliferation and integration of consumer technology in our daily lives has brought about the need for more elaborative development of health management systems to ensure device reliability, resilience, and longevity. Unexpected failures of consumer technology, including both hardware and software, can lead to significant inconvenience in daily lives and work, financial costs, health and safety risks for users, increased warranty and repair costs, brand reputation damage, and legal issues for manufacturers.
UR - https://www.scopus.com/pages/publications/105025677834
U2 - 10.1109/TCE.2025.3595513
DO - 10.1109/TCE.2025.3595513
M3 - Review article
AN - SCOPUS:105025677834
SN - 0098-3063
VL - 71
SP - 10651
EP - 10653
JO - IEEE Transactions on Consumer Electronics
JF - IEEE Transactions on Consumer Electronics
IS - 4
ER -