Heat recovery unit failure detection in air handling unit

Manik Madhikermi; Narges Yousefnezhad; Kary Främling

doi:10.1007/978-3-319-99707-0_43

Heat recovery unit failure detection in air handling unit

Manik Madhikermi^*, Narges Yousefnezhad, Kary Främling

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

137 Downloads (Pure)

Abstract

Maintenance is a complicated task that encompasses various activities including fault detection, fault diagnosis, and fault reparation. The advancement of Computer Aided Engineering (CAE) has increased challenges in maintenance as modern assets have became complex mixes of systems and sub systems with complex interaction. Among maintenance activities, fault diagnosis is particularly cumbersome as the reason of failures on the system is often neither obvious in terms of their source nor unique. Early detection and diagnosis of such faults is turning to one of the key requirements for economical and functional asset efficiency. Several methods have been investigated to detect machine faults for a number of years that are relevant for many application domains. In this paper, we present the process history-based method adopting nominal efficiency of Air Handling Unit (AHU) to detect heat recovery failure using Principle Component Analysis (PCA) in combination of the logistic regression method.

Original language	English
Title of host publication	Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
Pages	343-350
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-319-99707-0_43
Publication status	Published - 1 Jan 2018
MoE publication type	A4 Article in a conference publication
Event	International Conference on Advances in Production Management Systems - Seoul, Korea, Republic of Duration: 26 Aug 2018 → 30 Aug 2018 http://www.apms-conference.org/

Publication series

Name	IFIP Advances in Information and Communication Technology
Publisher	Springer
Volume	536
ISSN (Print)	1868-4238

Conference

Conference	International Conference on Advances in Production Management Systems
Abbreviated title	APMS
Country	Korea, Republic of
City	Seoul
Period	26/08/2018 → 30/08/2018
Internet address	http://www.apms-conference.org/

Keywords

Air handling unit
Fault detection
Fault diagnosis
FDD
Heat recovery unit
Logistic regression
PCA

Access to Document

10.1007/978-3-319-99707-0_43

SCI_Madhikermi_Heat_RecoveryAccepted author manuscript, 636 KB

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Heat recovery unit failure detection in air handling unit'. Together they form a unique fingerprint.

Cite this

Madhikermi, M., Yousefnezhad, N., & Främling, K. (2018). Heat recovery unit failure detection in air handling unit. In Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings (pp. 343-350). (IFIP Advances in Information and Communication Technology; Vol. 536). https://doi.org/10.1007/978-3-319-99707-0_43

@inproceedings{28b91a90850545809cc46f6d7a5e7631,

title = "Heat recovery unit failure detection in air handling unit",

abstract = "Maintenance is a complicated task that encompasses various activities including fault detection, fault diagnosis, and fault reparation. The advancement of Computer Aided Engineering (CAE) has increased challenges in maintenance as modern assets have became complex mixes of systems and sub systems with complex interaction. Among maintenance activities, fault diagnosis is particularly cumbersome as the reason of failures on the system is often neither obvious in terms of their source nor unique. Early detection and diagnosis of such faults is turning to one of the key requirements for economical and functional asset efficiency. Several methods have been investigated to detect machine faults for a number of years that are relevant for many application domains. In this paper, we present the process history-based method adopting nominal efficiency of Air Handling Unit (AHU) to detect heat recovery failure using Principle Component Analysis (PCA) in combination of the logistic regression method.",

keywords = "Air handling unit, Fault detection, Fault diagnosis, FDD, Heat recovery unit, Logistic regression, PCA",

author = "Manik Madhikermi and Narges Yousefnezhad and Kary Fr{\"a}mling",

note = "| openaire: EC/H2020/688203/EU//BIoTope ; International Conference on Advances in Production Management Systems, APMS ; Conference date: 26-08-2018 Through 30-08-2018",

year = "2018",

month = jan,

day = "1",

doi = "10.1007/978-3-319-99707-0_43",

language = "English",

isbn = "9783319997063",

series = "IFIP Advances in Information and Communication Technology",

publisher = "Springer",

pages = "343--350",

booktitle = "Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings",

url = "http://www.apms-conference.org/",

}

Madhikermi, M, Yousefnezhad, N & Främling, K 2018, Heat recovery unit failure detection in air handling unit. in Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. IFIP Advances in Information and Communication Technology, vol. 536, pp. 343-350, International Conference on Advances in Production Management Systems, Seoul, Korea, Republic of, 26/08/2018. https://doi.org/10.1007/978-3-319-99707-0_43

Heat recovery unit failure detection in air handling unit. / Madhikermi, Manik; Yousefnezhad, Narges ; Främling, Kary.

Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. 2018. p. 343-350 (IFIP Advances in Information and Communication Technology; Vol. 536).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Heat recovery unit failure detection in air handling unit

AU - Madhikermi, Manik

AU - Yousefnezhad, Narges

AU - Främling, Kary

N1 - | openaire: EC/H2020/688203/EU//BIoTope

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Maintenance is a complicated task that encompasses various activities including fault detection, fault diagnosis, and fault reparation. The advancement of Computer Aided Engineering (CAE) has increased challenges in maintenance as modern assets have became complex mixes of systems and sub systems with complex interaction. Among maintenance activities, fault diagnosis is particularly cumbersome as the reason of failures on the system is often neither obvious in terms of their source nor unique. Early detection and diagnosis of such faults is turning to one of the key requirements for economical and functional asset efficiency. Several methods have been investigated to detect machine faults for a number of years that are relevant for many application domains. In this paper, we present the process history-based method adopting nominal efficiency of Air Handling Unit (AHU) to detect heat recovery failure using Principle Component Analysis (PCA) in combination of the logistic regression method.

AB - Maintenance is a complicated task that encompasses various activities including fault detection, fault diagnosis, and fault reparation. The advancement of Computer Aided Engineering (CAE) has increased challenges in maintenance as modern assets have became complex mixes of systems and sub systems with complex interaction. Among maintenance activities, fault diagnosis is particularly cumbersome as the reason of failures on the system is often neither obvious in terms of their source nor unique. Early detection and diagnosis of such faults is turning to one of the key requirements for economical and functional asset efficiency. Several methods have been investigated to detect machine faults for a number of years that are relevant for many application domains. In this paper, we present the process history-based method adopting nominal efficiency of Air Handling Unit (AHU) to detect heat recovery failure using Principle Component Analysis (PCA) in combination of the logistic regression method.

KW - Air handling unit

KW - Fault detection

KW - Fault diagnosis

KW - FDD

KW - Heat recovery unit

KW - Logistic regression

KW - PCA

UR - http://www.scopus.com/inward/record.url?scp=85053234322&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-99707-0_43

DO - 10.1007/978-3-319-99707-0_43

M3 - Conference contribution

AN - SCOPUS:85053234322

SN - 9783319997063

T3 - IFIP Advances in Information and Communication Technology

SP - 343

EP - 350

BT - Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings

T2 - International Conference on Advances in Production Management Systems

Y2 - 26 August 2018 through 30 August 2018

ER -

Madhikermi M, Yousefnezhad N , Främling K. Heat recovery unit failure detection in air handling unit. In Advances in Production Management Systems. Smart Manufacturing for Industry 4.0 - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. 2018. p. 343-350. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-319-99707-0_43