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Life prediction of aircraft wiring harnesses based on surrogate models
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Zhuo LI1, Jize XU1, Zhe LIU1, Tianyu ZHAO2
Chinese Journal of Construction Machinery | 2025, 23(2) : 222 - 226
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Chinese Journal of Construction Machinery | 2025, 23(2): 222-226
Basic Theory and Key Technique
Life prediction of aircraft wiring harnesses based on surrogate models
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Zhuo LI1, Jize XU1, Zhe LIU1, Tianyu ZHAO2
Affiliations
  • 1. Shenyang Aircraft Corporation, Shenyang 110034, Liaoning, China
  • 2. College of Sciences, Northeastern University, Shenyang 110819, Liaoning, China
Outline
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The study examines wires in high-vibration zones of aircraft, where artificial damage was introduced to accelerate wear. Step-up-stress vibration testing was conducted to simulate accelerated aging and measure wire wear over a fixed period. Three surrogate models were developed using the wire diameter after artificial damage as the input and the experimentally obtained wire wear as the output. This established a nonlinear relationship between the initial artificial damage and the wear rate. The finite difference method was applied for time superposition to approximate the entire life cycle. Results indicate that the surrogate model using a back propagation neural network (BPNN) achieved the highest accuracy. Predicting lifespan through wear rate across the product's lifecycle can significantly reduce experimental costs. These findings provide theoretical and experimental guidance for future research on anti-wear technology and health management of aircraft wiring harnesses.

random vibration  /  wire wear  /  accelerated aging  /  life prediction  /  surrogate model
Zhuo LI, Jize XU, Zhe LIU, Tianyu ZHAO. Life prediction of aircraft wiring harnesses based on surrogate models[J]. Chinese Journal of Construction Machinery, 2025 , 23 (2) : 222 -226 .
Year 2025 volume 23 Issue 2
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  • Online Date:2025-12-16
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    1. Shenyang Aircraft Corporation, Shenyang 110034, Liaoning, China
    2. College of Sciences, Northeastern University, Shenyang 110819, Liaoning, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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