Open AccessReviewing the Challenges in Maintaining the Reliability and Accuracy of IOT Systems for Remaining Useful Life Prediction
Author(s) -
Kalaiarasan Sekar,
Shahani Aman Shah,
A. Antony Athithan
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1128/1/012010
Subject(s) - downtime , reliability engineering , reliability (semiconductor) , component (thermodynamics) , internet of things , predictive maintenance , computer science , aircraft maintenance , process (computing) , aviation , risk analysis (engineering) , systems engineering , computer security , engineering , aeronautics , quantum mechanics , thermodynamics , aerospace engineering , operating system , medicine , power (physics) , physics
Internet of things (IoT) has been implemented in aviation predictive maintenance in recent years for the enhancement of better maintenance prediction, to reduce downtime, unnecessary maintenance actions, increase safety, increase system readiness, and refine the management process and to improve component design. The IoT system in predictive maintenance is very optimistic in gathering and analysing, predicting the component failures and to determine the remaining useful life of a systems. Since Remaining useful life of an system is defines as the length from the current time to the end of its useful life. Due to its futuristic increasing demand of IoT in aviation maintenance, the biggest challenge is to ensuring the reliability and accuracy of any specific IoT system allotted for monitoring aircraft components in the near future. Hence, this review paper clearly explains the challenges associated with IoT systems on predicting Remaining useful life.