Possibility of processing parameters obtained from on-board flight data recorders for diagnostics and predicting reliable operation periods of important aircraft equipment.

• Autorzy: Ogonowski K. , Kozuba J.

Identyfikatory

DOI

10.20858/sjsutst.2017.95.13

• Języki publikacji: EN

Abstrakty

EN

In recent years, much attention has been paid to the recording of flight data in order to provide objective information concerning routine and emergency in-flight situations. The data recorded can be used for assessing the air mission execution by the pilot and flight safety breaches, for specifying some damage to the equipment, and for preventing faulty equipment from being used in flights. Flight data recorders (FDRs) are commonly known as “black boxes”. This article presents issues related to flight data acquisition and preparing the data for later use, as well as their impact on flight safety. The systems recording and processing selected parameters not only enable ongoing diagnostics, but also make it possible to predict the period of further reliable operations and to analyse the causes that led to possible damage. In addition to improving economic indicators of the aircraft operation, flight safety is improved. Obviously, the article will only discuss certain ways of enhancing safety by applying the processing of data obtained from FDRs. Nevertheless, I believe it will offer an overall view of how important it is to collect, process and properly analyse such data for diagnostics, prediction and flight safety.

Słowa kluczowe

EN

flight data recorder; diagnostics; prediction; operation period; aircraft equipment

PL

rejestrator danych lotu; diagnostyka; prognoza; okres eksploatacji; sprzęt lotniczy

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Transport / Politechnika Śląska
• Rocznik: 2017
• Tom: z. 95
• Strony: 133--143
• Opis fizyczny: Bibliogr. 17 poz.

Twórcy

autor

Ogonowski K.

• Faculty of National Security and Logistics, Polish Air Force Academy, Dęblin, Poland

autor

Kozuba J.

• Faculty of National Security and Logistics, Polish Air Force Academy, Dęblin, Poland

Bibliografia

• 1. Balicki W. 2011. The Processing of Information Written in the Exploitation Recorder for the Purposes of Diagnosing the State of an Air Turbine Engine (Works of the Institute of Aviation No. 213). Warsaw: Institute of Aviation. ISSN: 0509-6669.
• 2. Gębura A. 2010. Method of the Frequency Modulation of Stretching Deck Generators in Diagnosing Driving Teams. Warsaw: Publishing Company of the Technical Institute of the Air Force. ISBN: 978-83-61021-20-9.
• 3. Witkowski R., P. Lipiec. Aircraft Condition Monitoring System ACMS. Polskie Linie Lotnicze LOT S.A.
• 4. Czech P. 2012. “Diagnosis of industrial gearboxes condition by vibration and time-frequency, scale-frequency, frequency-frequency analysis”. Metalurgija 51(4): 521-524. ISSN: 0543-5846.
• 5. Czech P. 2011. “An intelligent approach to wear of piston-cylinder assembly diagnosis based on entropy of wavelet packet and probabilistic neural networks”. In: J. Mikulski (ed.). 11th International Conference on Transport Systems Telematics. Katowice Ustron, Poland. 19-22 October 2011. Modern Transport Telematics. Book series: Communications in Computer and Information Science, Vol. 239: 102-109.
• 6. Czech P. 2011. “Diagnosing of disturbances in the ignition system by vibroacoustic signals and radial basis function - preliminary research”. In: J. Mikulski (ed.). 11th International Conference on Transport Systems Telematics. Katowice Ustron, Poland. 19-22 October 2011. Modern Transport Telematics. Book series: Communications in Computer and Information Science, Vol. 239: 110-117.
• 7. Czech P. 2012. “Determination of the course of pressure in an internal combustion engine cylinder with the use of vibration effects and radial basis function - preliminary research”. In: J. Mikulski (ed.). 12th International Conference on Transport Systems Telematics. Katowice Ustron, Poland. 10-13 October 2012. Telematics in the Transport Environment. Book series: Communications in Computer and Information Science, Vol. 329: 175-182.
• 8. Czech P. 2012. “Identification of leakages in the inlet system of an internal combustion engine with the use of Wigner-Ville transform and RBF neural networks”. In: J. Mikulski (ed.). 12th International Conference on Transport Systems Telematics. Katowice Ustron, Poland. 10-13 October 2012. Telematics in the Transport Environment. Book series: Communications in Computer and Information Science, Vol. 329: 414-422.
• 9. Czech P. 2013. “Diagnosing a car engine fuel injectors’ damage”. In: J. Mikulski (ed.). 13th International Conference on Transport Systems Telematics. Katowice Ustron, Poland. 23-26 October 2013. Activities of Transport Telematics. Book series: Communications in Computer and Information Science, Vol. 395: 243-250.
• 10. Czech P. 2013. “Intelligent approach to valve clearance diagnostic in cars”. In: J. Mikulski (ed.). 13th International Conference on Transport Systems Telematics. Katowice Ustron, Poland. 23-26 October 2013. Activities of Transport Telematics. Book series: Communications in Computer and Information Science, Vol. 395: 384-391.
• 11. Czech P. 2013. “Diagnose car engine exhaust system damage using bispectral analysis and radial basic function”. In D. Zheng, J. Shi, L. Zhang (ed.). Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE). Beijing, China. 23-24 May 2013. Book series: Advances in Intelligent Systems Research, Vol. 30: 312-315.
• 12. Czech P. 2013. “The Use of DWT Analysys and PNN Neural Networks in Diagnostics of Gasket under Engine Head Damage”. In: B. Baksys, A. Bargelis, S. Bockus, A. Fedaravicius, V. Leonavicius, P. Ziliukas, R. Dundulis, T. Pilkaite (eds.). Proceedings of the 18th International Conference on Mechanika. Kaunas University of Technology, Kaunas, Lithuania. 4-5 April 2013. Kaunas University of Technology. Book series: Mechanika Kaunas University of Technology: 58-61.
• 13. Czech P., H. Madej. 2011. “Application of cepstrum and spectrum histograms of vibration engine body for setting up the clearance model of the piston-cylinder assembly for RBF neural classifier”. Eksploatacja i Niezawodnosc - Maintenance and Reliability 4(52): 15-20. ISSN: 1507-2711.
• 14. Czech P., J. Mikulski. 2014. “Application of Bayes Classifier and Entropy of Vibration Signals to Diagnose Damage of Head Gasket in Internal Combustion Engine of a Car”. In: J. Mikulski (ed.). 14th International Conference on Transport Systems Telematics. Katowice Ustron, Poland. 22-25 October 2014. Telematics - Support for Transport. Book series: Communications in Computer and Information Science, Vol. 471: 225-232.
• 15. Figlus T., M. Stańczyk. 2016. “A method for detecting damage to rolling bearings in toothed gears of processing lines”. Metalurgija 55(1): 75-78. ISSN: 0543-5846.
• 16. Figlus T., M. Stańczyk. 2014. “Diagnosis of the wear of gears in the gearbox using the wavelet packet transform”. Metalurgija 53(4): 673-676. ISSN: 0543-5846.
• 17. Madej H., P. Czech. 2010. “Discrete wavelet transform and probabilistic neural network in IC engine fault diagnosis”. Eksploatacja i Niezawodnosc - Maintenance and Reliability 4(48): 47-54. ISSN: 1507-2711.