A Hybrid Framework for Anomaly Detection and Identification Using Physics and Data Based Models

Touria El Mezyani; Phadungsak Tubuntoeng; O. Patrick Kreidl; James Fletcher; Arturo S. Bretas

doi:10.1109/ESTS62818.2025.11152456

A Hybrid Framework for Anomaly Detection and Identification Using Physics and Data Based Models

Touria El Mezyani
, Phadungsak Tubuntoeng
, O. Patrick Kreidl
, James Fletcher
, Arturo S. Bretas

School of Engineering

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	268-274
Number of pages	7
Journal	IEEE Electric Ship Technologies Symposium, ESTS
Issue number	2025
DOIs	https://doi.org/10.1109/ESTS62818.2025.11152456
State	Published - 2025
Event	2025 IEEE Electric Ship Technologies Symposium, ESTS 2025 - Alexandria, United States Duration: Aug 5 2025 → Aug 8 2025

ASJC Scopus Subject Areas

Energy Engineering and Power Technology
Automotive Engineering
Electrical and Electronic Engineering
Control and Optimization

Keywords

Analytical Redundancy Relations
BESS
Detection
FDI
Identification
Learning
Machine

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10.1109/ESTS62818.2025.11152456

Cite this

@article{eb9081d95ef54d82a4ac0f00af8e8fcd,

title = "A Hybrid Framework for Anomaly Detection and Identification Using Physics and Data Based Models",

keywords = "Analytical Redundancy Relations, BESS, Detection, FDI, Identification, Learning, Machine",

author = "Mezyani, \{Touria El\} and Phadungsak Tubuntoeng and Kreidl, \{O. Patrick\} and James Fletcher and Bretas, \{Arturo S.\}",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Electric Ship Technologies Symposium, ESTS 2025 ; Conference date: 05-08-2025 Through 08-08-2025",

year = "2025",

doi = "10.1109/ESTS62818.2025.11152456",

language = "English",

pages = "268--274",

number = "2025",

}

TY - JOUR

T1 - A Hybrid Framework for Anomaly Detection and Identification Using Physics and Data Based Models

AU - Mezyani, Touria El

AU - Tubuntoeng, Phadungsak

AU - Kreidl, O. Patrick

AU - Fletcher, James

AU - Bretas, Arturo S.

PY - 2025

Y1 - 2025

KW - Analytical Redundancy Relations

KW - BESS

KW - Detection

KW - FDI

KW - Identification

KW - Learning

KW - Machine

UR - https://www.scopus.com/pages/publications/105030831494

UR - https://www.scopus.com/pages/publications/105030831494#tab=citedBy

U2 - 10.1109/ESTS62818.2025.11152456

DO - 10.1109/ESTS62818.2025.11152456

M3 - Conference article

AN - SCOPUS:105030831494

SN - 2836-3566

SP - 268

EP - 274

JO - IEEE Electric Ship Technologies Symposium, ESTS

JF - IEEE Electric Ship Technologies Symposium, ESTS

IS - 2025

T2 - 2025 IEEE Electric Ship Technologies Symposium, ESTS 2025

Y2 - 5 August 2025 through 8 August 2025

ER -

A Hybrid Framework for Anomaly Detection and Identification Using Physics and Data Based Models

ASJC Scopus Subject Areas

Keywords

Access to Document

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