Dec 9, 2022 · The purpose of time-series clustering is to identify faulty sensor nodes by comparing the shape or features of their time series with the time- ...
Sensor node failures are inevitable and unpredictable events in large-scale CPSs, which compromise the integrity of the sensors measurements and potentially ...
Jan 11, 2024 · This study demonstrates that time-series clustering effectively detects sensor node's continuous (halting/repeating) and incipient faults. It ...
Sep 29, 2022 · Ciupala et al., Time-series clustering for sensor fault detection in large-scale Cyber-Physical Systems, Computer Networks. (2022), doi ...
Time-series clustering for sensor fault detection in large-scale Cyber–Physical Systems ... Authors: Ahmed A. Alwan; Allan J. Brimicombe; Mihaela Anca Ciupala ...
Intelligent Systems and Applications: Proceedings of the 2018 ... Time-series clustering for sensor fault detection in large-scale Cyber–Physical Systems.
Time-series clustering for sensor fault detection in large-scale Cyber-Physical Systems. ... Mobile Space-Time Envelopes for Location-Based Services. Trans. GIS ...
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A model-free fault detection and diagnosis system (FDDS) designed, having in mind scalability issues, so as to be able to detect and isolate faults in CPSs ...
This work introduces a model-free Fault Detection and Diagnosis System (FDDS) designed having in mind scalability issues, so as to be able to detect and isolate ...
Apr 23, 2023 · The study focuses on large-scale time series data in a centralized AD approach, which cannot be applied to a CPPS with limited resources. The ...