Study on Content Optimization Principle and Method of Seasonal Military Aircraft Maintenance

doi:10.3969/j.issn.1006-2475.2012.11.011

Computer and Modernization ›› 2012, Vol. 1 ›› Issue (11): 39-42+4.doi: 10.3969/j.issn.1006-2475.2012.11.011

• 人工智能 • Previous Articles Next Articles

Study on Content Optimization Principle and Method of Seasonal Military Aircraft Maintenance

WANG Li-ming¹, YUAN Shu-li², MA Nai-cang¹, JI Yun-fei¹

1. Qingdao Branch, Naval Aeronautical and Astronautical University, Qingdao 266041, China;2. Qingdao Agricultural University, Qingdao 266019, China

Received:2012-07-03 Revised:1900-01-01 Online:2012-11-10 Published:2012-11-10

Abstract

Abstract: This paper briefly introduces the necessity of seasonal military aircraft maintenance content optimization, and detailedly describes the basic principles of seasonal military aircraft maintenance content optimization, as well as the specific optimization process of logic decision method, reliability-centered maintenance analysis method and mean time between failure analysis method.

Key words: aircraft, seasonal aircraft maintenance, content optimization, principle, logic decision

CLC Number:

TB114.3

WANG Li-ming;YUAN Shu-li;MA Nai-cang;JI Yun-fei. Study on Content Optimization Principle and Method of Seasonal Military Aircraft Maintenance[J]. Computer and Modernization, 2012, 1(11): 39-42+4.

[1]	LU Wei-qiang. Microservices-based Architecture Design for Civil Aircraft Industrial Software [J]. Computer and Modernization, 2023, 0(07): 73-78.
[2]	LU Wei-qiang. Hybrid Cloud Data Architecture for Civil Aircraft Manufacturing [J]. Computer and Modernization, 2023, 0(06): 95-102.
[3]	XIAO Wan-xia1,2, DONG Xing-ye1,2， LIN You-fang1,2. An Iterated Local Search Algorithm for Aircraft Recovery Problem [J]. Computer and Modernization, 2019, 0(09): 1-.
[4]	SONG Ping1,2,3, XU Guang-luan2,3, ZHOU Yan-hai4, GUO Zhi2,3, YAN Meng-long2,3, ZHANG Yi-fei2. Aircraft Detection Method Based on MRNSSD Model for Remote Sensing Images [J]. Computer and Modernization, 2018, 0(12): 110-.
[5]	LI Fei1， LI Han-jing1,2， YAO Deng-feng2， LYU Hui-hua2. WAPM: A Web Accessibility Evaluation Metric Based on Improved AHP [J]. Computer and Modernization, 2018, 0(01): 78-83.
[6]	QIAN Shao, CHEN Dan. Applied Adaptor with Aircraft Cooperative Design Based on JSON Data Format [J]. Computer and Modernization, 2016, 0(8): 123-126.
[7]	LI Ya-ke, GAO Hang. Slow Feature Learning Discriminant for Ordinal Regression [J]. Computer and Modernization, 2016, 251(07): 24-27,32.
[8]	BIAN Hua-xing, CHEN Dan, ZHUANG Yi. Application of DDS in Aircraft Collaborative Design System [J]. Computer and Modernization, 2015, 0(5): 35-39.
[9]	YE Shu-qiu, ZHAN Lin. Quad-rotor Aircraft Attitude Control System Based on PID Control [J]. Computer and Modernization, 2015, 0(5): 117-120.
[10]	YANG Qing-shuai1, YANG Hong-yu1,2, LAN Shi-yong1,2, CHENG Peng2. Registration Number Recognition of Civil Aviation Aircraft [J]. Computer and Modernization, 2015, 0(4): 31-36.
[11]	ZHENG Jun-hui1， ZHANG Guo-ping2. Aircraft Attitude Estimation System Based on Improved Adaptive UKF Algorithm [J]. Computer and Modernization, 2015, 0(3): 62-64,70.
[12]	LI Yuanzhen， YANG Qun， DUAN Xi. A Balanced Update Ant Colony Optimization for Aircraft Arrival Sequencing and Scheduling [J]. Computer and Modernization, 2015, 0(2): 57-.
[13]	GUO Feng1, BAI Song2, ZHOU Bin1, WANG Yan3, LI Yongtao2. Demand Forecast of Aircraft Engine [J]. Computer and Modernization, 2015, 0(2): 113-.
[14]	LIU Yilan， XU Lihong， WU Fengyan， PAN Shujing. Firefly Algorithm for Solving 01 Knapsack Problem [J]. Computer and Modernization, 2014, 0(4): 113-117.
[15]	KUANG Wen-long, YE Qing, SONG Zan. Single Fog Image Defogged Method Based on Physics Model [J]. Computer and Modernization, 2014, 0(3): 123-125+130.

Study on Content Optimization Principle and Method of Seasonal Military Aircraft Maintenance

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments