Constrained Optimization of Functional Inspection Based on Delay Time Model and Its Application in Aircraft Maintenance

Although functional inspection and delay time model are important maintenance policy, inaccuracy under some conditions and lacking of practical data of potential defect and delay time imposes serious restrictions on its application in engineering. According to practical failure degeneration process,...

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Bibliographic Details
Main Authors: Huai Yuan Li, Wen Ming Gui, Wen Jun Chen, Ru Bin Gong
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10891772/
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Summary:Although functional inspection and delay time model are important maintenance policy, inaccuracy under some conditions and lacking of practical data of potential defect and delay time imposes serious restrictions on its application in engineering. According to practical failure degeneration process, a constraint optimization model of non-periodic functional inspection based on expected cost rate is created from delay time conception. Moreover, the indicators measured the accuracy of inspection policy are given. Considering an accepted fact that failure rate is much higher during delay time than before, change-point in failure rate is taken as starting point of delay time. Then a new information criterion of MLE for segmented distribution and hierarchical clustering based on KS test are proposed to estimate change-point. Subsequently, delay time samples can be analyzed from lifetime sample and then its distribution can be exact inferred. Finally, after the distribution of potential defect can be easily calculated by fast Fourier transform, the constraint optimization model of functional inspection is solved. The methodology in this paper is applied to aircraft maintenance, reasonable inspection interval is easily obtained ever if there are nothing but lifetime samples. From the accurate results, not only the constraint model is practicable, but also the proposed methodology is suitable for practical maintenance engineering.
ISSN:2169-3536