Abstract

In this article, the development and experimental investigation of a Boeing 737 aircraft environmental control system (ECS) passenger air conditioner (PACK) has been reported. The PACK is the heart of the ECS that conditions bleed air prior to supplying it to the cabin and avionics bay. Its capability to mask fault occurrences has resulted in increased unscheduled maintenance of the system. As such it has been a key research topic to understand PACK performance characteristics in order to support an accurate diagnostic solution. This article is a continuation of the authors’ work on the development of a systematically derived PACK simulation model and reports the overall development and qualification of a novel in situ ground test facility (GTF) for the experimental investigation of a B737-400 aircraft PACK under various operating modes, including the effect of trim air system. The developed GTF enables the acquisition of the temperature, pressure, and mass flow data throughout the PACK. The overall process of instrumentation selection, installation, sensor uncertainty, and testing in terms of data repeatability and consistency has been reported. The acquired data are then employed to conduct verification and validation of the SESAC (simscape ECS simulation under all conditions) simulation framework. The reported research work therefore enables the advancement in the level of scientific understanding corresponding to the ECS PACK operation under real operating conditions, and therefore supports the development of a robust simulation framework for ECS fault diagnostics at the system level.

References

1.
Figuero
,
D. V.
,
2017
, “
Diagnostic Capability for Environmental Control Systems
,”
Masters dissertation
,
Cranfield University
,
Cranfield, UK
.
2.
Wright
,
S.
,
Andrews
,
G.
, and
Sabir
,
H.
,
2009
, “
A Review of Heat Exchanger Fouling in the Context of Aircraft Air-Conditioning Systems, and the Potential for Electrostatic Filtering
,”
Appl. Therm. Eng.
,
29
(
13
), pp.
2596
2609
.
3.
Ma
,
J.
,
Lu
,
C.
, and
Liu
,
H.
,
2015
, “
Fault Diagnosis for the Heat Exchanger of the Aircraft Environmental Control System Based on the Strong Tracking Filter
,”
PLoS One
,
10
(
3
), pp.
1
11
.
4.
Jonsson
,
G. R.
,
Lalot
,
S.
,
Palsson
,
O. P.
, and
Desmet
,
B.
,
2007
, “
Use of Extended Kalman Filtering in Detecting Fouling in Heat Exchangers
,”
Int. J. Heat Mass Transfer
,
50
(
13–14
), pp.
2643
2655
.
5.
Jonsson
,
G.
, and
Palsson
,
O. P.
,
1994
, “
An Application of Extended Kalman Filtering to Heat Exchanger Models
,”
ASME J. Dyn. Syst. Meas. Control
,
116
(
2
), pp.
257
264
.
6.
Santos
,
A. P. P.
,
Andrade
,
C. R.
, and
Zaparoli
,
E. L.
,
2014
, “
A Thermodynamic Study of Air Cycle Machine for Aeronautical Applications
,”
Int. J. Thermodyn.
,
17
(
3
), p.
117
.
7.
Ma
,
Z.
,
Zhang
,
X.
,
Wang
,
C.
,
Yang
,
H.
, and
Yang
,
C.
,
2015
, “
Study on Ground-Test Simulation Method of the Ram Air for Commercial Airliners’ Environmental Control System
,”
Proc. Eng.
,
121
, pp.
325
332
.
8.
Chowdhury
,
S. H.
,
Ali
,
F.
, and
Jennions
,
I. K.
,
2023
, “
A Review of Aircraft Environmental Control System Simulation and Diagnostics
,”
Proc. Inst. Mech. Eng., Part G: J. Aerospace Eng.
, p.
095441002311544
.
9.
Burroughs
,
J. D.
, and
Hammond
,
R. A.
,
1983
, “
Control Analysis and Design Features of EASY5
,”
American Control Conference
,
San Francisco, CA
,
June 22–24
.
10.
Steinkellner
,
S.
,
Andersson
,
H.
,
Gavel
,
H.
, and
Krus
,
P.
,
2009
, “
Modeling and Simulation of Saab Gripen's Vehicle Systems
,”
AIAA Modeling and Simulation Technologies Conference
,
Chicago, IL
,
Aug. 10–13
.
11.
Müller
,
C.
,
Scholz
,
D.
, and
Giese
,
T.
,
2007
, “
Dynamic Simulation of Innovative Aircraft Air Conditioning
,”
1st CEAS European Air and Space Conference
, pp.
869
878
.
12.
Scholz
,
D.
,
Christian
,
M.
,
Giese
,
T.
, and
Erdmann
,
C.
,
2007
, “
FLECS : Functional Library of the Environmental Control System—A Simulation Tool for the Support of Industrial Processes
,”
AST 2007 Workshop on Aircraft Technologies
,
Hamburg, Germany
,
Mar. 29–30
.
13.
Tu
,
Y.
, and
Lin
,
G.
,
2010
, “
Dynamic Simulation of Humid Air Environmental Control System
,”
40th International Conference on Environmental Systems
,
Barcelona, Spain
,
July 11–15
, pp.
1
10
.
14.
Tu
,
Y.
, and
Lin
,
G. P.
,
2011
, “
Dynamic Simulation of Aircraft Environmental Control System Based on Flowmaster
,”
J. Aircraft
,
48
(
6
), pp.
2031
2041
.
15.
Steinkellner
,
S.
,
2011
,
Aircraft Vehicle Systems Modeling and Simulation Under Uncertainty
,
Linköping University
,
Sweden
.
16.
Jennions
,
I.
,
Ali
,
F.
,
Miguez
,
M. E.
, and
Escobar
,
I. C.
,
2020
, “
Simulation of an Aircraft Environmental Control System
,”
Appl. Therm. Eng.
,
172
, p.
114925
.
17.
Jennions
,
I.
, and
Ali
,
F.
,
2021
, “
Assessment of Heat Exchanger Degradation in a Boeing 737-800 Environmental Control System
,”
ASME J. Therm. Sci. Eng. Appl.
,
13
(
6
), p.
061015
.
18.
Childs
,
T.
,
Jones
,
A. B.
, and
Chen
,
R.
,
2015
, “
Development of a Full Scale Experimental and Simulation Tool for Environmental Control System Optimisation and Fault Detection
,”
53rd AIAA Aerospace Sciences Meeting
,
Kissimmee, FL,
Jan. 5–9
.
19.
Esperon-Miguez
,
M.
,
Jennions
,
I. K.
,
Escobar
,
I. C.
, and
Hanov
,
N.
,
2019
, “
Simulating Faults in a Boeing 737-200 Environmental Control System Using a Thermodynamic Model
,”
Int. J. Progn. Health Manage.
,
10
(
2
), pp.
1
12
.
20.
Boon
,
T.
,
2020
, “
How Many Boeing 737 Aircraft Are Currently In Service & Stored?
,” https://simpleflying.com/boeing-737-in-service-stored/, Accessed December 30, 2021.
21.
Chowdhury
,
S. H.
,
Fakhre
,
A.
, and
Jennions
,
I. K.
,
2022
, “
Boeing 737-400 Passenger Air Conditioner Control System Model for Accurate Fault Simulation
,”
ASME J. Therm. Sci. Eng. Appl.
,
14
(
9
), p.
091008
.
22.
Boeing 737-300/400/500 Aircraft Maintenance Manual, D6-3758
.”
23.
Chowdhury
,
S. H.
,
Fakhre
,
A.
, and
Jennions
,
I. K.
,
2019
, “
A Methodology for the Experimental Validation of an Aircraft ECS Digital Twin Targeting System Level Diagnostics
,”
Proceedings of the Annual Conference of the PHM Society 2019
,
Scottsdale, AZ
,
Sept. 21–26
, pp.
1
11
.
24.
H. I. Inc.
,
2021
, “
PX2 Series Heavy Duty Pressure Transducers
,” https://www.mouser.co.uk/datasheet/2/187/honeywell_sensing_heavy_duty_pressure_px2_series_d-2821546.pdf, Accessed December 14, 2021.
25.
Omega
,
2021
, “
Pt100 RTD & Thermocouple Probes for Industrial Applications
,” https://br.omega.com/omegaFilesUK/temperature/pdf/T3PROBES.pdf, Accessed December 14, 2021.
26.
TE Connectivity
,
2021
, “
HTM2500LF—Temperature and Relative Humidity Module
,” https://www.te.com/usa-en/product-CAT-HSA0001.html?q=&d=483080&type=products&samples=N, Accessed December 14, 2021.
27.
Omega
,
2021
, “
Temperature Isolation Coil for G1/4 & 1/4 NPT Pressure Sensor
,” https://www.omega.co.uk/pptst/PXM-COIL.html., Accessed December 14, 2021.
28.
Appmeas
,
2021
, “
How Can You Protect Sensors Against High-Temperature Media?
,” https://appmeas.co.uk/resources/pressure-measurement-notes/how-can-you-protect-sensors-against-high-temperature-media/, Accessed December 14, 2021.
29.
Kirkup
,
L.
, and
Frenkel
,
R. B.
,
2006
,
An Introduction to Uncertainty in Measurement
,
Cambridge University Press
,
Cambridge
30.
31.
UMD
. “
Random vs Systematic Error
,”
University of Maryland
, https://www.physics.umd.edu/courses/Phys276/Hill/Information/Notes/ErrorAnalysis.html
32.
Solinst
,
2021
, “
Understanding Pressure Sensor Accuracy, Precision, Resolution & Drift
,” https://www.solinst.com/onthelevel-news/water-level-monitoring/water-level-datalogging/understanding-pressure-sensor-accuracy-precision-resolution-drift/, Accessed Nov. 23, 2021.
33.
Inc., H. I.
,
2018
, “
Auto-Zero Calibration Technique for Pressure Sensors
,” pp.
1
10
, https://sensing.honeywell.com/auto-zero-calibration-technique-pressure-sensors-technical-note.pdf
34.
Peters
,
C. A.
,
2001
, “Statistics for Analysis of Experimental Data,”
AEEESP Environmental Engineering Processes Laboratory Manual.
,
AEEESP
.
35.
Taylor
,
J. R.
,
1998
,
An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
, 2nd ed.,
University Science Books
,
Sausalita, CA
.
36.
Kim
,
H.-Y.
,
2013
, “
Statistical Notes for Clinical Researchers: Assessing Normal Distribution (2) Using Skewness and Kurtosis
,”
Restor. Dent. Endod.
,
38
(
1
), p.
52
.
37.
Mishra
,
P.
,
Pandey
,
C.
,
Singh
,
U.
,
Gupta
,
A.
,
Sahu
,
C.
, and
Keshri
,
A.
,
2019
, “
Descriptive Statistics and Normality Tests for Statistical Data
,”
Ann. Card. Anaesth.
,
22
(
1
), p.
67
.
38.
Harvard University Department of Physics
,
2019
, “
A Summary of Error Propagation
,” http://ipl.physics.harvard.edu/wpuploads/2013/03/PS3_Error_Propagation_sp13.pdf
39.
Skliros
,
C.
,
Ali
,
F.
, and
Jennions
,
I.
,
2020
, “
Experimental Investigation and Simulation of a Boeing 747 Auxiliary Power Unit
,”
ASME J. Eng. Gas Turbines Power
,
142
(
8
), p.
081005
.
40.
Luyben
,
W. L.
, and
Tuzla
,
K.
,
2010
, “
Gas Pressure-Drop Experiment
,”
Chem. Eng. Educ.
,
44
(
3
), pp.
183
188
. https://eric.ed.gov/?id=EJ935038
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