1 |
ATA MSG-3. Operator/manufacturer scheduled maintenance volume 1-fixed wing aircraft, vol. 1-fixed[S]. Alexandria: Air Transport Association of America, 2013.
|
2 |
柏文华. 民用飞机维修大纲制定的关键技术及方法研究[D]. 南京: 南京航空航天大学, 2014: 12-42.
|
|
BAI W H. Research on major technology and method for civil aircraft MRBR development[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2014: 12-42.
|
3 |
International Maintenance Review Board Policy Board. IP 180. Aircraft health monitoring (AHM) integration in MSG-3[S]. Shanghai: International Maintenance Review Board Policy Board, 2018.
|
4 |
International Maintenance Review Board Policy Board(IMRBPB). IP 44. Evolution/optimization guidelines IMRBPB issue paper 44(Issue 3)[S]. KROHNE: European Aviation Safety Agency, 2011.
|
5 |
AHSAN S , LEMMA T , GEBREMARIAM M . Reliability analysis of gas turbine engine by means of bathtub-shaped failure rate distribution[J]. Process Safety Progress, 2020, 39, e12115.
|
6 |
SHEHLA R , ROMAN A K . Reliability analysis using an exponential power model with bathtub-shaped failure rate function: a Bayes study[J]. Springer Plus, 2016, 5 (1): 1076.
doi: 10.1186/s40064-016-2722-3
|
7 |
MUDHOLKAR G S , ASUBONTENG K O , HUTSON A D . Transformation of the bathtub failure rate data in reliability for using Weibull-model analysis[J]. Statistical Methodology, 2009, 6 (6): 622- 633.
doi: 10.1016/j.stamet.2009.07.003
|
8 |
ALASWAD S , XIANG Y S . A review on condition-based maintenance optimization models for stochastically deteriorating system[J]. Reliability Engineering & System Safety, 2017, 157, 54- 63.
|
9 |
JONGE B D . Discretizing continuous-time continuous-state deterioration processes, with an application to condition-based maintenance optimization[J]. Reliability Engineering & System Safety, 2019, 188, 1- 5.
|
10 |
YOUSEFI N , COIT D W , SANLING S , et al. Optimization of on-condition thresholds for a system of degrading components with competing dependent failure processes[J]. Reliability Engineering & System Safety, 2019, 192, 106547.
|
11 |
YOUSEFI N , TSIANIKAS S , COIT D W . Dynamic maintenance model for a repairable multi-component system using deep reinforcement learning[J]. Quality Engineering, 2022, 34, 16- 35.
doi: 10.1080/08982112.2021.1977950
|
12 |
YOUSEFI N , TSIANIKAS S , COIT D W . Reinforcement learning for dynamic condition-based maintenance of a system with individually repairable components[J]. Quality Engineering, 2020, 32, 388- 408.
doi: 10.1080/08982112.2020.1766692
|
13 |
GEORGE B , LOO J , JIE W . Recent advances and future trends on maintenance strategies and optimisation solution techniques for offshore sector[J]. Ocean Engineering, 2022, 250, 110986.
doi: 10.1016/j.oceaneng.2022.110986
|
14 |
GHORBANI M , NOURELFAIH M , GENDREAUAC M . A two-stage stochastic programming model for selective maintenance optimization[J]. Reliability Engineering & System Safety, 2022, 223, 108480.
|
15 |
DENG Q C , BRUNO F S . Lookahead approximate dynamic programming for stochastic aircraft maintenance check scheduling optimization[J]. European Journal of Operational Research, 2022, 299 (3): 814- 833.
doi: 10.1016/j.ejor.2021.09.019
|
16 |
FRANTZEN M , BANDARU S , NG A . Digital-twin-based decision support of dynamic maintenance task prioritization using simulation-based optimization and genetic programming[J]. Decision Analytics Journal, 2022, 3, 100039.
doi: 10.1016/j.dajour.2022.100039
|
17 |
STADEN H , DEPREZ L , BOUTE R . A dynamic "predict, then optimize" preventive maintenance approach using operational intervention data[J]. European Journal of Operational Research, 2022, 302 (3): 1079- 1096.
doi: 10.1016/j.ejor.2022.01.037
|
18 |
WEIDE T V D , DENG Q C , STANTOS B F . Robust long-term aircraft heavy maintenance check scheduling optimization under uncertainty[J]. Computers & Operations Research, 2022, 141, 105667.
|
19 |
MA H L , SUN Y G , CHUNG S H , el at . Tackling uncertainties in aircraft maintenance routing: a review of emerging technologies[J]. Transportation Research Part E: Logistics and Transportation Review, 2022, 164, 102805.
doi: 10.1016/j.tre.2022.102805
|
20 |
AC-91-26. 航空器计划维修要求的编制[S]. 北京: 中国民用航空局, 2015.
|
|
AC-91-26. Preparation of aircraft planned maintenance requirements[S]. Beijing: Civil Aviation Administration of China, 2015.
|
21 |
应舒琪. 基于可靠性数据的民机维修间隔优化方法研究[D]. 南京: 南京航空航天大学, 2020: 11-45.
|
|
YING S Q. Research on optimization method of civil aircraft maintenance interval based on reliability data[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2020: 11-45.
|
22 |
林聪, 蒋庆喜, 周扬. 基于服役数据的飞机计划维修任务间隔优化方法[J]. 航空工程进展, 2020, 11 (4): 572- 576.
|
|
LIN C , JIANG Q X , ZHOU Y . Schedule maintenance task interval optimization method based on in-service data[J]. Advances in Aeronautical Science and Engineering, 2020, 11 (4): 572- 576.
|
23 |
PENG R , HE X F , ZHONG C , et al. Preventive maintenance for heterogeneous parallel systems with two failure modes[J]. Reliability Engineering & System Safety, 2022, 220, 108310.
|
24 |
LIU Q N , MA L , WANG N C , et al. A condition-based maintenance model considering multiple maintenance effects on the dependent failure processes[J]. Reliability Engineering & System Safety, 2022, 220, 108267.
|
25 |
贾宝惠, 刘彦波, 卢翔, 等. 低利用率下民机结构维修间隔确定模型[J]. 航空学报, 2018, 39 (1): 221516.
|
|
JIA B H , LIU Y B , LU X , et al. Model for determining maintenance intervals of aircraft structural with low utilization[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39 (1): 221516.
|
26 |
SI G J , XIA T B , GEBRAEEL N , et al. A reliability-and-cost-based framework to optimize maintenance planning and diverse-skilled technician routing for geographically distributed systems[J]. Reliability Engineering & System Safety, 2022, 226, 108652.
|
27 |
HAN Y , ZHEN X W , HUANG Y . Multi-objective optimization for preventive maintenance of offshore safety critical equipment integrating dynamic risk and maintenance cost[J]. Ocean Engineering, 2022, 245, 110557.
doi: 10.1016/j.oceaneng.2022.110557
|
28 |
WANG J J , WANG Y F , ZHANG Y R , el at . Life cycle dynamic sustainability maintenance strategy optimization of fly ash RC beam based on Monte Carlo simulation[J]. Journal of Cleaner Production, 2022, 351, 131337.
doi: 10.1016/j.jclepro.2022.131337
|
29 |
ALMALKI S J , YUAN J S . A new modified Weibull distribution[J]. Reliability Engineering & System Safety, 2013, 111 (3): 164- 170.
|
30 |
EBELING C E. An introduction to reliability and maintainability engineering[M]. 3rd ed. Dayton: Waveland PressInc, 2019: 58-79.
|
31 |
D′AGOSTINO R B , STEPHENS M A . Goodness-of-fit techniques[M]. New York: Routledge, 1987: 194- 234.
|