Data-driven fault detection and estimation in thermal pulse combustors-Reference-Cited by-同舟云学术

Data-driven fault detection and estimation in thermal pulse combustors

Published:2008-08-01 Issue:8 Volume:222 Page:1097-1108
ISSN:0954-4100
Container-title:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Author:

Chakraborty S¹,Gupta S¹,Ray A¹,Mukhopadhyay A²

Affiliation:

1. Department of Mechanical Engineering, Pennsylvania State University, PA, USA

2. Department of Mechanical Engineering, Jadavpur University, Kolkata, India

Abstract

This paper presents the development of a dynamic data-driven statistical method for: (a) early detection of incipient faults and (b) parameter estimation for prognosis of forthcoming failures and operational disruptions (e.g. flame extinction) in thermal pulse combustors. From these perspectives, reduction in the tailpipe friction coefficient is estimated from time-series data of pressure oscillations. The algorithms for parameter estimation are built upon the principles of Symbolic Dynamics, Information Theory and Statistical Pattern Recognition. The proposed algorithms have been tested on an experimentally validated simulation model of a generic thermal pulse combustor.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1243/09544100JAERO432

Reference17 articles.

1. Thermal Pulse Combustion

2. Controlling chaos in a model of thermal pulse combustion

3. Fault detection and isolation in aircraft gas turbine engines. Part 1: Underlying concept

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