Abstract
For an aircraft engine system, it is vital to monitor its health condition using different types of sensors. Selecting a minimal subset of sensors that are the most informative yet cost-effective determines the performance of health monitoring. Integrated system health management (ISHM), a systematic approach to improve the safety and reliability of certain system, can be conducted in sensor selection procedure for the aircraft engine. In this paper, an ISHM-oriented sensor optimization selection model was developed to actively select required sensors. A numerical example is presented to apply the sensor selection approach to an aircraft gas turbine engine. The results demonstrate that the proposed model and algorithm are effective and feasible, and can guide sensor selection for aircraft engine system very well.
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References
Zhang X, Tang L, Decastro J (2013) Robust fault diagnosis of aircraft engines: a nonlinear adaptive estimation-based approach. IEEE Trans Control Syst Technol 21:861–868
Ding C, Xu J, Xu L (2013) ISHM-based intelligent fusion prognostics for space avionics. Aerosp Sci Technol 29:200–205
Jaw LC (2005) Recent advancements in aircraft engine health management (EHM) technologies and recommendations for the next step. In: ASME Turbo Expo 2005: power for land, sea, and air. American Society of Mechanical Engineers, New York, pp 683–695
Tan Z, Zhang Z, Shi YB (2012) The overview of the health monitoring management system. Phys Procedia 33:1323–1329
Xu J, Wang Y, Xu L (2014) PHM-oriented integrated fusion prognostics for aircraft engines based on sensor data. IEEE Sens J 14:1124–1132
Misra S, Bera S et al (2013) Optimal gateway selection in sensor—cloud framework for health monitoring. IET Wirel Sens Syst 4:61–68
Subrahmanya N, Shin YC, Meckl PH (2010) A Bayesian machine learning method for sensor selection and fusion with application to on-board fault diagnostics. Mech Syst Signal Process 24:182–192
Yang S, Qiu J, Liu G (2012) Sensor optimization selection model based on testability constraint. Chin J Aeronaut 25:262–268
Lyu K, Tan X et al (2014) Sensor selection of helicopter transmission systems based on physical model and sensitivity analysis. Chin J Aeronaut. doi:10.1016/j.cja.2014.04.025
Novis A, Powrie H (2006) PHM sensor implementation in the real world—a status report. In: IEEE aerospace conference proceedings, pp 1–9
Millar RC (2009) Defining requirements for advanced PHM technologies for optimal reliability centered maintenance. In: Aerospace conference. IEEE, pp 1–7
Shang L, Liu G (2011) Sensor and actuator fault detection and isolation for a high performance aircraft engine bleed air temperature control system. IEEE Trans Control Syst Technol 19:1260–1268
Zhang G (2005) Optimum sensor localization/selection in a diagnostic/prognostic architecture. Technical Report, Scholary Material and Research at Technology
Saxena A, Goebel K et al (2008) Damage propagation modeling for aircraft engine run-to-failure simulation. In: International conference on prognostics and health management. IEEE, pp 1–9
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Wang, Y., Song, X., Zhang, L. (2015). ISHM-Oriented Sensor Optimization Selection for Aircraft Engine System. In: Xu, J., Nickel, S., Machado, V., Hajiyev, A. (eds) Proceedings of the Ninth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47241-5_45
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DOI: https://doi.org/10.1007/978-3-662-47241-5_45
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