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Author

Xintian Liu

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5 papers indexed here

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Aug 2026

Grey Model-based Improved Gompertz Method for End-of-life Analysis of Chinese New Energy Vehicles

Traditional forecasts of end-of-life vehicle (ELV) flows treat all cars as a single homogeneous stock, ignoring the emerging split between fuel vehicles and new-energy vehicles (NEVs). This omission becomes critical as NEV sales soar and their batteries enter the recycling stream. To address this gap, this research...

Junyan Gu, Xin-Tian Liu, Bi-Xiong Huang et al. · 0 citations
Open access Oct 2026

Numerical Laminate Screening of Pin-Loaded CFRP Driveshaft Joints Using Progressive Damage Analysis and Multi-Criteria Evaluation

Carbon fiber-reinforced polymer (CFRP) driveshafts offer significant lightweight potential, but the performance of pin-loaded joints is strongly affected by laminate architecture. To support laminate selection beyond peak strength alone, a numerical screening framework combining finite-element analysis, Hashin-based pr...

Li-Ming Zheng, Lin Yuan, Neng Wang et al. · 0 citations
Sep 2026

Life risk prediction and evaluation of electric drive input shaft bearings under naturalistic driving conditions

Electric drive input shaft bearings operate under highly variable speed and torque conditions, and their fatigue risk is governed by both load magnitude and the temporal organization of driving and regenerative braking states. This study proposes a hybrid physics-based and data-driven life risk assessment framework usi...

Yi Liang, Jiao Luo, Xin-Tian Liu et al. · 0 citations
Open access Aug 2026

A Unified Multiaxial Fatigue Life Prediction Method Based on Transformer Sequence‐to‐Sequence Translation

A transformer‐based multiaxial fatigue life prediction method, innovatively formulating the task as a sequence‐to‐sequence transformation problem, which consistently outperforms traditional LSTM‐MLP models in both prediction accuracy and generalization capability under current test conditions.

Shuling Xian, Xiaowei Wang, Yu Fang et al. · 0 citations
Open access Jul 2026

A Physics-Constrained Spectral Generative Adversarial Network for Rolling Bearing Fault Diagnosis

The PCS-GAN model employs a time-frequency dual-discriminator structure to enforce statistical and spectral realism via physics-informed loss terms via physics-informed loss terms to provide a computationally efficient and reliable solution for fault diagnosis in data-scarce industrial settings.

Yi-Tong Liu, Xin-Tian Liu, Guoqiang Wang et al. · 0 citations

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