Binary Classifier to Detect Anomalies in Process Values to Increase Robustness of a PEMS

VARGHESE, John Sarun

CS SKLog in Log in (EduId)

Theses 33zhjz

Binary Classifier to Detect Anomalies in Process Values to Increase Robustness of a PEMS – John Sarun VARGHESE

Back to search

John Sarun VARGHESE

Master's thesis

Binary Classifier to Detect Anomalies in Process Values to Increase Robustness of a PEMS

Abstract:

This thesis aims to increase the resilience of existing Predicive Emission Monitoring Systems (PEMS) by introducing an anomaly detection model which is capable of detecting anomalies based off process values from sensors in power plants.

Abstract:

This thesis aims to increase the resilience of existing Predicive Emission Monitoring Systems (PEMS) by introducing an anomaly detection model which is capable of detecting anomalies based off process values from sensors in power plants.

Language used: English

Date on which the thesis was submitted / produced: 9. 2. 2024

Thesis defence

Supervisor: prof. Dr. Michael Heigl

Citation record

Cite this text

ISO 690-compliant citation record:

VARGHESE, John Sarun. \textit{Binary Classifier to Detect Anomalies in Process Values to Increase Robustness of a PEMS}. Online. Master's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2024. Available from: https://theses.cz/id/33zhjz/.

@MastersThesis{VARGHESE2024thesis,
AUTHOR = "VARGHESE, John Sarun",
TITLE = "Binary Classifier to Detect Anomalies in Process Values to Increase Robustness of a PEMS [online]",
YEAR = "2024 [cit. 2024-11-10]",
TYPE = "Master's thesis",
SCHOOL = "University of South Bohemia in České Budějovice, Faculty of ScienceČeské Budějovice",
NOTE = "SUPERVISOR: prof. Dr. Michael Heigl",
URL = "https://theses.cz/id/33zhjz/",
}

@MastersThesis{VARGHESE2024thesis,
AUTHOR = {VARGHESE, John Sarun},
TITLE = {Binary Classifier to Detect Anomalies in Process Values to Increase Robustness of a PEMS},
YEAR = {2024},
TYPE = {Master's thesis},
INSTITUTION = {University of South Bohemia in České Budějovice, Faculty of Science},
LOCATION = {České Budějovice},
SUPERVISOR = {prof. Dr. Michael Heigl},
URL = {https://theses.cz/id/33zhjz/},
URL_DATE = {2024-11-10},
}

{{Citace kvalifikační práce
 | příjmení = VARGHESE
 | jméno = John Sarun
 | instituce = University of South Bohemia in České Budějovice, Faculty of Science
 | titul = Binary Classifier to Detect Anomalies in Process Values to Increase Robustness of a PEMS
 | url = https://theses.cz/id/33zhjz/
 | typ práce = Master's thesis
 | vedoucí = prof. Dr. Michael Heigl
 | rok = 2024
 | počet stran =
 | strany =
 | citace = 2024-11-10
 | poznámka =
 | jazyk = 
}}

The right form of listing the thesis as a source quoted

VARGHESE, John Sarun. Binary Classifier to Detect Anomalies in Process Values to Increase Robustness of a PEMS. České Budějovice, 2024. diplomová práce (Mgr.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta

Full text of thesis

Contents of on-line thesis archive

Published in Theses:

Soubory jsou nedostupné do 9. 2. 2027
Po tomto datu bude práce dostupná: světu

Other ways of accessing the text

Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakulta

Reference to the local database file of the institution

UNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE

Faculty of Science

Master programme / field:
Artificial Intelligence and Data Science / Artificial Intelligence and Data Science

Theses on a related topic

No theses on a related topic available.