Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Reliability and sensitivity analysis of more-electric aircraft based on cross-entropy

The traditional Monte Carlo sampling method has several deficiencies in evaluating the reliability of more-electric aircraft (MEA), such as more sampling times and longer simulation time, due to the complex topology and low probability of failure of the aircraft. In this Letter, the optimal probability distribution of multi-component systems is introduced by cross-entropy, which theoretically makes the variance of reliability evaluation zero. Based on this, an evaluation method for the power-supply reliability of MEA is presented. For further analysis of the system vulnerabilities, the sensitivity of MEA is modelled based on reliability calculation. Finally, the hybrid MEA and high-voltage direct current MEA power systems are used as application scenarios to calculate the reliability and sensitivity. The results show that the proposed method has advantages in evaluating small probability events, and it is useful for the optimisation of MEA's power-supply system structure.

References

    1. 1)
    2. 2)
      • 8. Chwa, J., Ameri, A., Mozumdar, M.: ‘Improving reliability of aircraft electric power distribution system’. 2014 IEEE Green Energy and Systems Conf. (IGESC), Long Beach, CA, USA, November 2014, pp. 6166.
    3. 3)
    4. 4)
      • 2. Moir, I., Seabridge, A.: ‘Aircraft systems: mechanical, electrical and avionics subsystems integration’ (John Wiley & Sons, Chichester, UK, 2011, 3rd edn.).
    5. 5)
    6. 6)
    7. 7)
      • 9. Limnios, N., Oprişan, G.: ‘Semi-Markov processes and reliability’ (Birkhauser, Boston/Berlin, 2001).
    8. 8)
    9. 9)
      • 7. Nystrom, B., Austrin, L., Ankarback, N., et al: ‘Fault tree analysis of an aircraft electric power supply system to electrical actuators’. 2006 Int. Conf. on Probabilistic Methods Applied to Power Systems, Stockholm, Sweden, June 2006, pp. 15.
    10. 10)
    11. 11)
      • 12. Al-Wafi, E., Al-Subhi, A., Al-Muhaini, M.: ‘Reliability assessment of a practical power system using Monte Carlo simulation’. 2015 Saudi Arabia Smart Grid (SASG), Jeddah, Saudi Arabia, Decebmer 2015, pp. 16.
    12. 12)
    13. 13)
      • 6. Bluvband, Z., Grabov, P.: ‘Failure analysis of FMEA’. 2009 Annual Reliability and Maintainability Symp., Fort Worth, TX, USA, January 2009, pp. 344347.
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2019.4259
Loading

Related content

content/journals/10.1049/el.2019.4259
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address