Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines

Soumalya Sarkar; Kushal Mukherjee; Soumik Sarkar; Asok Ray

doi:10.1109/acc.2012.6315253

Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines

Soumalya Sarkar, Kushal Mukherjee, Soumik Sarkar, Asok Ray

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

This paper presents a data-driven symbolic dynamics-based method for detection of incipient faults in gas turbine engines of commercial aircraft. Detection of incipient faults in such engines could be significantly manifested by taking advantage of transient data (e.g., during takeoff). From this perspective, the fault detection and classification algorithms are built upon the recently reported work on symbolic dynamic filtering. In particular, Markov model-based analysis of steady state data is extended by taking advantage of the available transient data. The fault detection and classification procedure has been validated on the NASA C-MAPSS transient test case generator.

Original language	English (US)
Title of host publication	2012 American Control Conference, ACC 2012
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5132-5137
Number of pages	6
ISBN (Print)	9781457710957
DOIs	https://doi.org/10.1109/acc.2012.6315253
State	Published - 2012
Event	2012 American Control Conference, ACC 2012 - Montreal, QC, Canada Duration: Jun 27 2012 → Jun 29 2012

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Other

Other	2012 American Control Conference, ACC 2012
Country/Territory	Canada
City	Montreal, QC
Period	6/27/12 → 6/29/12

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/acc.2012.6315253

Cite this

Sarkar, S., Mukherjee, K., Sarkar, S., & Ray, A. (2012). Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines. In 2012 American Control Conference, ACC 2012 (pp. 5132-5137). Article 6315253 (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/acc.2012.6315253

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title = "Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines",

abstract = "This paper presents a data-driven symbolic dynamics-based method for detection of incipient faults in gas turbine engines of commercial aircraft. Detection of incipient faults in such engines could be significantly manifested by taking advantage of transient data (e.g., during takeoff). From this perspective, the fault detection and classification algorithms are built upon the recently reported work on symbolic dynamic filtering. In particular, Markov model-based analysis of steady state data is extended by taking advantage of the available transient data. The fault detection and classification procedure has been validated on the NASA C-MAPSS transient test case generator.",

author = "Soumalya Sarkar and Kushal Mukherjee and Soumik Sarkar and Asok Ray",

year = "2012",

doi = "10.1109/acc.2012.6315253",

language = "English (US)",

isbn = "9781457710957",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5132--5137",

booktitle = "2012 American Control Conference, ACC 2012",

address = "United States",

note = "2012 American Control Conference, ACC 2012 ; Conference date: 27-06-2012 Through 29-06-2012",

}

Sarkar, S, Mukherjee, K, Sarkar, S & Ray, A 2012, Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines. in 2012 American Control Conference, ACC 2012., 6315253, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 5132-5137, 2012 American Control Conference, ACC 2012, Montreal, QC, Canada, 6/27/12. https://doi.org/10.1109/acc.2012.6315253

Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines. / Sarkar, Soumalya; Mukherjee, Kushal; Sarkar, Soumik et al.
2012 American Control Conference, ACC 2012. Institute of Electrical and Electronics Engineers Inc., 2012. p. 5132-5137 6315253 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines

AU - Sarkar, Soumalya

AU - Mukherjee, Kushal

AU - Sarkar, Soumik

AU - Ray, Asok

PY - 2012

Y1 - 2012

N2 - This paper presents a data-driven symbolic dynamics-based method for detection of incipient faults in gas turbine engines of commercial aircraft. Detection of incipient faults in such engines could be significantly manifested by taking advantage of transient data (e.g., during takeoff). From this perspective, the fault detection and classification algorithms are built upon the recently reported work on symbolic dynamic filtering. In particular, Markov model-based analysis of steady state data is extended by taking advantage of the available transient data. The fault detection and classification procedure has been validated on the NASA C-MAPSS transient test case generator.

AB - This paper presents a data-driven symbolic dynamics-based method for detection of incipient faults in gas turbine engines of commercial aircraft. Detection of incipient faults in such engines could be significantly manifested by taking advantage of transient data (e.g., during takeoff). From this perspective, the fault detection and classification algorithms are built upon the recently reported work on symbolic dynamic filtering. In particular, Markov model-based analysis of steady state data is extended by taking advantage of the available transient data. The fault detection and classification procedure has been validated on the NASA C-MAPSS transient test case generator.

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M3 - Conference contribution

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T3 - Proceedings of the American Control Conference

SP - 5132

EP - 5137

BT - 2012 American Control Conference, ACC 2012

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2012 American Control Conference, ACC 2012

Y2 - 27 June 2012 through 29 June 2012

ER -

Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines

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