0
Research Papers

Real-Time Burst Signal Removal Using Multicolor Pyrometry Based Filter for Improved Jet Engine Control

[+] Author and Article Information
Guanghua Wang

GE Global Research Center,
1 Research Circle,
Niskayuna, NY 12309
e-mail: wanggu@ge.com

Jordi Estevadeordal

GE Global Research Center,
1 Research Circle,
Niskayuna, NY 12309
e-mail: estevade@ge.com

Nirm Nirmalan

GE Aviation,
1 Neumann Way,
Cincinnati, OH 45215
e-mail: nirmalan@ge.com

Sean P. Harper

GE Aviation,
1 Neumann Way,
Cincinnati, OH 45215
e-mail: sean.harper@ge.com

1Corresponding author.

Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received October 9, 2014; final manuscript received January 11, 2015; published online February 3, 2015. Editor: Kenneth C. Hall.

J. Turbomach 137(8), 081008 (Aug 01, 2015) (9 pages) Paper No: TURBO-14-1265; doi: 10.1115/1.4029615 History: Received October 09, 2014; Revised January 11, 2015; Online February 03, 2015

Online line-of-sight (LOS) pyrometer is used on certain jet engines for diagnosis and control functions such as hot-blade detection, high-temperature limiting, and condition-based monitoring. Hot particulate bursts generated from jet engine combustor at certain running conditions lead to intermittent high-voltage signal outputs from the LOS pyrometer which is ultimately used by the onboard digital engine controller (DEC). To study the nature of hot particulates and enable LOS pyrometer functioning under burst conditions, a multicolor pyrometry (MCP) system was developed under DARPA funded program and tested on an aircraft jet engine. Soot particles generated as byproduct of combustion under certain conditions was identified as the root cause for the signal burst in a previous study. The apparent emissivity was then used to remove burst signals. In current study, the physics based filter with MCP algorithm using apparent emissivity was further extended to real-time engine control by removing burst signals at real time (1 MHz) and at engine DEC data rate. Simulink models are used to simulate the performances of the filter designs under engine normal and burst conditions. The results are compared with current LOS pyrometer results and show great advantage. The proposed model enables new LOS pyrometer design for improved engine control over wide range of operating conditions.

FIGURES IN THIS ARTICLE
<>
Copyright © 2015 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Fig. 1

Absorption negligible detection wavelength bands (1–5) for combustion products H2O and CO2 at jet engine running conditions [10]

Grahic Jump Location
Fig. 2

Raw signals of three channels: radiance temperatures, MCP temperature, and apparent emissivity in a typical sample time window at normal condition

Grahic Jump Location
Fig. 3

Raw signals of three channels: radiance temperatures, MCP temperature, and apparent emissivity in a typical sample time window at burst condition

Grahic Jump Location
Fig. 4

Implementation of the 2 C MCP filter in Simulink model with output data rate at 1 MHz. The burst signal is replaced by the last good averaged signal.

Grahic Jump Location
Fig. 5

Real-time (1 MHz) filtered results at the burst condition

Grahic Jump Location
Fig. 6

Zoomed view for Fig. 5 shows detail real time (1 MHz) filtered results at the burst condition. The arrows indicate thermal radiation signals from nonblade hot particles.

Grahic Jump Location
Fig. 7

Real-time (1 MHz) filtered results at the normal condition

Grahic Jump Location
Fig. 8

Implementation of the 2 C MCP filter in Simulink model with output data rate at 100 Hz. Here, the burst signal is replaced by the last good averaged signal.

Grahic Jump Location
Fig. 9

Comparing filtered results at normal condition using synthetic long data record

Grahic Jump Location
Fig. 10

Comparing filtered results at burst condition using synthetic long data record

Grahic Jump Location
Fig. 11

Zoomed view of Fig. 9 shows detailed filtered results at normal condition

Grahic Jump Location
Fig. 12

Zoomed view of Fig. 10 shows detailed filtered results at burst condition

Grahic Jump Location
Fig. 13

Comparing filtered results from normal to burst condition using synthetic long data record

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In