research-article

Unsupervised Dynamic Sensor Selection for IoT-Based Predictive Maintenance of a Fleet of Public Transport Buses

Authors:

Patrick Killeen,

Tet YeapAuthors Info & Claims

ACM Transactions on Internet of Things, Volume 3, Issue 3

Article No.: 21, Pages 1 - 36

https://doi.org/10.1145/3530991

Published: 19 July 2022 Publication History

Abstract

In recent years, big data produced by the Internet of Things has enabled new kinds of useful applications. One such application is monitoring a fleet of vehicles in real time to predict their remaining useful life. The consensus self-organized models (COSMO) approach is an example of a predictive maintenance system. The present work proposes a novel Internet of Things based architecture for predictive maintenance that consists of three primary nodes: the vehicle node, the server leader node, and the root node, which enable on-board vehicle data processing, heavy-duty data processing, and fleet administration, respectively. A minimally viable prototype of the proposed architecture was implemented and deployed to a local bus garage in Gatineau, Canada.

The present work proposes improved consensus self-organized models (ICOSMO), a fleet-wide unsupervised dynamic sensor selection algorithm. To analyze the performance of ICOSMO, a fleet simulation was implemented. The J1939 data gathered from a hybrid bus was used to generate synthetic data in the simulations. Simulation results that compared the performance of the COSMO and ICOSMO approaches revealed that in general ICOSMO improves the average area under the curve of COSMO by approximately 1.5% when using the Cosine distance and 0.6% when using Hellinger distance.

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Unsupervised Dynamic Sensor Selection for IoT-Based Predictive Maintenance of a Fleet of Public Transport Buses

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Published In

cover image ACM Transactions on Internet of Things

ACM Transactions on Internet of Things Volume 3, Issue 3

August 2022

251 pages

EISSN:2577-6207

DOI:10.1145/3514184

Editors:
Schahram Dustdar
TU Wien, Austria
,
Gian Pietro Picco
University of Trento, Italy

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 19 July 2022

Online AM: 20 April 2022

Accepted: 01 April 2022

Revised: 01 February 2022

Received: 01 May 2021

Published in TIOT Volume 3, Issue 3

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https://doi.org/10.1109/JIOT.2024.3457883
Li GTan HZhang XZhang CZhou RHan ZChen G(2024)Online Container Caching with Late-Warm for IoT Data Processing2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00127(1547-1560)Online publication date: 13-May-2024
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Vira GKilleen PYeap TKiringa I(2024)Predictive Maintenance by Detection of Gradual Faults in an IoT-Enabled Public Bus2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)10.1109/CCECE59415.2024.10667221(570-576)Online publication date: 6-Aug-2024
https://doi.org/10.1109/CCECE59415.2024.10667221
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