Evaluation of Aircraft Auxiliary Power Unit Near-Field Acoustics for Condition Monitoring

被引:1
|
作者
Ahmed, Umair [1 ]
Ali, Fakhre [1 ]
Jennions, Ian [1 ]
机构
[1] Cranfield Univ, Integrated Vehicle Hlth Management Ctr, Sch Aerosp Transport & Mfg, Cranfield MK43 0AL, Beds, England
关键词
Microphones; Aircraft; Sensors; Vibrations; Acoustics; Condition monitoring; Monitoring; Feature extraction; Spectral analysis; Correlation coefficient; acoustics; vibration; feature extraction; acoustic scattering; high order spectral analysis; coefficient of overlap; correlation coefficient; acoustic noise; aircraft; VIBRATION; DIAGNOSIS;
D O I
10.1109/ACCESS.2022.3213698
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a comprehensive evaluation of the near-field acoustics of an aircraft auxiliary power unit (APU), based on experimental data acquired from an in-situ APU. The aim is to establish whether near-field acoustics can be implemented for online condition monitoring. The APU of Cranfield University's demonstrator aircraft, a Boeing 737-400, has been instrumented to acquire acoustics (near-field and far-field) and vibration data in synchronization with aircraft state parameters under a wide range of operating conditions. The acquired data is first implemented to determine the efficacy of employing near-field / far-field microphones, and vibration sensors, to monitor the combustion noise and tonal frequency levels from the APU components. Subsequently, an evaluation of the broadband characteristics of the vibroacoustic data and its variations against APU states and performance parameters is conducted based on several categories of feature extraction techniques. The findings suggest that nearfield acoustics lacks the ability to capture the combustion noise process. In addition, the tonal frequencies are also lost due to the level of background noise, fluctuations in the APU speeds, and scattering effects. For the same reasons, the phase couplings occurring between the signals generated by the APU components cannot be detected using acoustic data. Nevertheless, the overall analysis substantiates that the near-field acoustic data can be used to predict the APU operating states and has the potential to be implemented for developing APU performance parameter estimation models to enable condition monitoring.
引用
收藏
页码:108564 / 108582
页数:19
相关论文
共 50 条
  • [31] Minimum startup method of a DC near-field thermal power unit based on a unit voltage supporting effect
    Zhang H.
    Liu F.
    Li W.
    Gao J.
    Shao C.
    Shi Y.
    Hao R.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (23): : 141 - 147
  • [32] THE NEAR-FIELD SINGULARITY PREDICTED BY THE SPIRAL GREENS-FUNCTION IN ACOUSTICS AND ELECTRODYNAMICS
    ARDAVAN, H
    PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1991, 433 (1888): : 451 - 459
  • [33] Condition monitoring in the field of power generation
    Donnellan, P
    CONDITION MONITORING: ENGINEERING THE PRACTICE, 2002, : 55 - 64
  • [34] CHARACTERIZATION OF AN AIRCRAFT AUXILIARY POWER UNIT TEST RIG FOR CYCLE OPTIMIZATION STUDIES
    Zanger, Jan
    Krummrein, Thomas
    Siebel, Teresa
    Roth, Juergen
    PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, 2018, VOL 1, 2018,
  • [35] Improving EGT sensing data anomaly detection of aircraft auxiliary power unit
    Liansheng LIU
    Yu PENG
    Lulu WANG
    Yu DONG
    Datong LIU
    Qing GUO
    Chinese Journal of Aeronautics, 2020, 33 (02) : 448 - 455
  • [36] Performance Degradation Prediction of Aircraft Auxiliary Power Unit Using the Improved SVR
    Liu, Xiaolei
    Liu, Liansheng
    Wang, Lulu
    Peng, Xiyuan
    2021 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2021), 2021,
  • [37] Characterization of an Aircraft Auxiliary Power Unit Test Rig for Cycle Optimization Studies
    Zanger, Jan
    Krummrein, Thomas
    Siebel, Teresa
    Roth, Juergen
    JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2019, 141 (01):
  • [38] Improving EGT sensing data anomaly detection of aircraft auxiliary power unit
    Liu, Liansheng
    Peng, Yu
    Wang, Lulu
    Dong, Yu
    Liu, Datong
    Guo, Qing
    CHINESE JOURNAL OF AERONAUTICS, 2020, 33 (02) : 448 - 455
  • [39] Improving EGT sensing data anomaly detection of aircraft auxiliary power unit
    Liansheng LIU
    Yu PENG
    Lulu WANG
    Yu DONG
    Datong LIU
    Qing GUO
    Chinese Journal of Aeronautics , 2020, (02) : 448 - 455
  • [40] A Hybrid Method of Remaining Useful Life Prediction for Aircraft Auxiliary Power Unit
    Liu, Xiaolei
    Liu, Liansheng
    Liu, Datong
    Wang, Lulu
    Guo, Qing
    Peng, Xiyuan
    IEEE SENSORS JOURNAL, 2020, 20 (14) : 7848 - 7858