Schedule Maintenance Task Interval Optimization Method Based on In-service Data

Schedule maintenance task interval is a key index representing the reliability and economy of aircraft, and the accumulation of maintenance and fault data after aircraft service provides the basis for the adjustment of maintenance task interval. The method for data sampling size is determined by ana...

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Main Authors: LIN Cong, JIANG Qingxi, ZHOU Yang
Format: Article
Language:zho
Published: Editorial Department of Advances in Aeronautical Science and Engineering 2020-08-01
Series:Hangkong gongcheng jinzhan
Subjects:
Online Access:http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2020043?st=article_issue
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author LIN Cong
JIANG Qingxi
ZHOU Yang
author_facet LIN Cong
JIANG Qingxi
ZHOU Yang
author_sort LIN Cong
collection DOAJ
description Schedule maintenance task interval is a key index representing the reliability and economy of aircraft, and the accumulation of maintenance and fault data after aircraft service provides the basis for the adjustment of maintenance task interval. The method for data sampling size is determined by analyzing the optimization process of aircraft maintenance task interval. The failure trend analysis method based on data fitting is given to judge the necessity of interval optimization method. The hypothesis test criteria of maintenance interval optimization is defined. The proposed optimization method is verified with instance. The results show that the method can judge the feasibility of new maintenance task interval, and guide the update of maintenance review board report (MRBR).
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spelling doaj.art-b485d89a576d461ebc284650213848c02022-12-22T04:39:56ZzhoEditorial Department of Advances in Aeronautical Science and EngineeringHangkong gongcheng jinzhan1674-81902020-08-01114572576,58410.16615/j.cnki.1674-8190.2020.04.01620200416Schedule Maintenance Task Interval Optimization Method Based on In-service DataLIN Cong0JIANG Qingxi1ZHOU Yang2Department of Equipment Service, China Aero-Polytechnology Establishment, Beijing 100028, ChinaDepartment of Equipment Service, China Aero-Polytechnology Establishment, Beijing 100028, ChinaDepartment of Equipment Service, China Aero-Polytechnology Establishment, Beijing 100028, ChinaSchedule maintenance task interval is a key index representing the reliability and economy of aircraft, and the accumulation of maintenance and fault data after aircraft service provides the basis for the adjustment of maintenance task interval. The method for data sampling size is determined by analyzing the optimization process of aircraft maintenance task interval. The failure trend analysis method based on data fitting is given to judge the necessity of interval optimization method. The hypothesis test criteria of maintenance interval optimization is defined. The proposed optimization method is verified with instance. The results show that the method can judge the feasibility of new maintenance task interval, and guide the update of maintenance review board report (MRBR).http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2020043?st=article_issueschedule maintenance taskmaintenance interval optimizationhypothesis test
spellingShingle LIN Cong
JIANG Qingxi
ZHOU Yang
Schedule Maintenance Task Interval Optimization Method Based on In-service Data
Hangkong gongcheng jinzhan
schedule maintenance task
maintenance interval optimization
hypothesis test
title Schedule Maintenance Task Interval Optimization Method Based on In-service Data
title_full Schedule Maintenance Task Interval Optimization Method Based on In-service Data
title_fullStr Schedule Maintenance Task Interval Optimization Method Based on In-service Data
title_full_unstemmed Schedule Maintenance Task Interval Optimization Method Based on In-service Data
title_short Schedule Maintenance Task Interval Optimization Method Based on In-service Data
title_sort schedule maintenance task interval optimization method based on in service data
topic schedule maintenance task
maintenance interval optimization
hypothesis test
url http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2020043?st=article_issue
work_keys_str_mv AT lincong schedulemaintenancetaskintervaloptimizationmethodbasedoninservicedata
AT jiangqingxi schedulemaintenancetaskintervaloptimizationmethodbasedoninservicedata
AT zhouyang schedulemaintenancetaskintervaloptimizationmethodbasedoninservicedata