Vision-based damage detection of aircraft engine’s compressor blades
1
AGH University of Science and Technology
2
Rzeszow University of Technology
Submission date: 2021-05-31
Final revision date: 2021-08-13
Acceptance date: 2021-08-25
Online publication date: 2021-08-31
Publication date: 2021-08-31
Diagnostyka 2021;22(3):83–90
KEYWORDS
TOPICS
ABSTRACT
In this paper, a new vision-based method for an evaluation of aircraft engine's compressor turbine blade damage is presented. The algorithm developed in the research uses image processing and analysis techniques for detection, localization and evaluation of the extent of compressor blades' damage. An introduction of local pixel intensity standard deviation image (SDI) computed for each image pixel made it possible to perform a correct image binarization and damage detection even for images taken in poor lighting conditions and corrupted by specular reflections, shadows and micro reflections from blade’s surface roughness. Fractal dimension (FD) analysis of the blade's edge has been applied for automatic localization of detected damage along the blade’s edge. An extraction of damage for computation of its geometrical dimensions was carried out with a help of binary image convex hull complement. The performance and accuracy of the developed method was compared with other image analysis methods. Hough transform for marker detection has been used as a method for scaling. The application of the developed measurement tool may be a useful aid in diagnostic inspections of aircraft engines using endoscopic cameras.
FUNDING
Part of the research presented in the paper was supported by the National Centre for Research and Development (NCBiR) under Grant No. 039/L-5/2013 (LIDER V).
REFERENCES (21)
1.
Masłyk M, Obrocki W, Setkowicz A, Sieniawski J. Experimental fatigue strength determination of damaged aircraft engine blades. Advances in Manufacturing Science and Technology. 2016;40(4):55:66. https://doi.org/10.2478/amst-2....
2.
Jain McCreary. Runway safety: FOD, birds, and the case for automated scanning. Insight SRI LLC (USA), Washington, DC 2010.
3.
Seyed Masoud Marandi, Khosrow Rahmani, Mehdi Tajdari: Foreign object damage on the leading edge of compressor blades. Transactions of FAMENA. XXXVII-2, 2013:57:66.
4.
Rygiel P, Obrocki W, Sieniawski J. Numerical Vibration analysis of turbine engine Compressor blades depending on geometry and position of the damage. Advances in Manufacturing Science and Technology. 2017;41:43-56. https://doi.org/10.2478/amst-2....
5.
Peters JO, Boyce BL, Chen X, McNaney JM, Hutchinson JW, Ritchie RO. On the application of the Kitigawa-Takahashi diagram to foreign-object damage and high-cycle fatigue. Enginering Fracture Mechanics. 2002;60(13):1425-1446. https://doi.org/10.1016/S0013-....
6.
Witek L, Wierzbińska M, Poznańska A. Fracture analysis of compressor blade of a helicopter engine. Engineering Failure Analysis. 2009;16(5):1616-1622. https://doi.org/10.1016/j.engf....
7.
Witek L. Experimental crack propagation and failure analysis of the first stage compressor blade subjected to vibration. Engineering Failure Analysis. 2006;16(5):1616-1622. https://doi.org/10.1016/j.engf....
8.
Peters JO, Roder O, Boyce BL, Thompson AW, Ritchie RO. Role of foreign-object damage on thresholds for high-cycle fatigue in Ti-6Al-4V. Metallurgical and Materials Transactions. 2010;31(6):1571-1583.
9.
Spang HA, Brown H. Control of jet engines. Control Engineering Practice. 1999; 7:1043-1059.
10.
Vujić D. Turbojet engine maintenance systems. Scientific-Technical Review. 2003;LIII 2.
11.
Jing S, Xiangjun X, Jialai W, Gong Li. Beam damage detection using computer vision technology. Nondestructive Testing and Evaluation. 2010;25:189-204. https://doi.org/10.1080/105897....
12.
Rucka M. Damage detection in beams using wave let transform on higher vibration modes. Journal of Theoretical and Applied Mechanics. 2011; 49(2):399-417.
13.
Rucka M, Wilde K. Neuro-wavelet damage detection technique in beam, plate and shell Structures with experimental validation. Journal of Theoretical and Applied Mechanics. 2010;48(3):479-504.
14.
Sładek J, Ostrowska K, Kohut P, Holak K, Gąska A, Uhl T. Development of a vision based deflection measurement system and its accuracy assessment. Measurement. 2013;46(3):1237-1249. https://doi.org/10.1016/j.meas....
15.
Kohut P, Holak K, Uhl T, Ortyl Ł, Owerko T, Kuras P, Kocierz R. Monitoring of a civil structure’s state based on noncontact measurements. Structural Health Monitoring. 2013;12(5-6):411-429. https://doi.org/10.1177/147592....
16.
Abolhasannejad V, Huang X, Namazi N. Developing an optical image-based method for bridge deformation measurement considering camera motion. Sensors. 2018;8(9):2754; https://doi.org/10.3390/s18092....
17.
Burger W, Burge MJ. Principles of digital image processing: fundamental techniques. Springer. Londyn. 2009.
20.
Hui Li, Yong Huang, Jinping Ou, Yuequan Bao. Fractal Dimension: Based damage detection method for beams with a uniform cross‐section. Computer-Aided Civil and Infrastructure Engineering. 2011;26(3):190-206.
„Podniesienie poziomu naukowego i poziomu umiędzynarodowienia czasopisma Diagnostyka oraz upowszechniania informacji o wynikach badań lub prac rozwojowych poprzez udział uznanych zagranicznych recenzentów w ocenie publikacji - zadanie finansowane w ramach umowy 745/P-DUN/2017. ze środków Ministra Nauki i Szkolnictwa Wyższego przeznaczonych na działalność upowszechniającą naukę”
© 2006-2023 Journal hosting platform by Bentus
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.