Predictive maintenance framework of the aircraft system based on PHM information

Predictive maintenance is the novel development from the condition-based maintenance, which is being widely studied in various engineering systems. This paper proposed the integrated predictive maintenance framework for the aircraft system based on the existing maintenance management experience and the output result of prognostic and health management system (PHM).There are four aspects in this framework: historic data analysis, system health assessment, remaining useful life prediction and maintenance decision-making. The simulation study compares the predictive maintenance to the traditional preventive maintenance for the aircraft air-condition system(ACS), and selects the total maintenance cost and the mission reliability as the criteria. The results suggest that the proposed framework is a promising feature in maintenance management for the aircraft system.

[1]  Jay Lee,et al.  Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications , 2014 .

[2]  ScienceDirect.  Mechanical systems and signal processing , 1987 .

[3]  Qian Chen,et al.  A novel method for feature extraction using crossover characteristics of nonlinear data and its application to fault diagnosis of rotary machinery , 2014 .

[4]  Florian Holzapfel,et al.  Reconstruction of Aircraft States During Landing Based on Quick Access Recorder Data , 2017 .

[5]  Gang Niu,et al.  Prognostic control-enhanced maintenance optimization for multi-component systems , 2017, Reliab. Eng. Syst. Saf..

[6]  Junyou Shi,et al.  A Framework of Discrete-Event Simulation Modeling for Prognostics and Health Management (PHM) in Airline Industry , 2017, IEEE Systems Journal.

[7]  P Flint.  TROUBLESHOOTING FROM 25,000 FT : NEW SYSTEMS PERMIT LINE MAINTENANCE DEPARTMENTS TO DIAGNOSE AND TROUBLESHOOT FAULTS WHILE AIRCRAFT ARE STILL IN THE AIR , 2002 .

[8]  ScienceDirect.  Reliability engineering & system safety , 1988 .

[9]  Jay Lee,et al.  Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation , 2015 .

[10]  Ivo Paixao de Medeiros,et al.  Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning , 2015, IEEE Systems Journal.

[11]  Xiao Liu,et al.  Condition-based maintenance for continuously monitored degrading systems with multiple failure modes , 2013 .

[12]  Feng Pan,et al.  Fault detection and diagnosis for data incomplete industrial systems with new Bayesian network approach , 2013 .

[13]  Guigang Zhang,et al.  Aviation PHM system research framework based on PHM big data center , 2016, 2016 IEEE International Conference on Prognostics and Health Management (ICPHM).

[14]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .