Statistical and Machine Learning Approach for Progressive Stress Accelerated Life Testing Under Unified Progressive Hybrid Censoring DOI
Aman Prakash, Anil Kumar Maurya, Raj Kamal Maurya

et al.

Quality and Reliability Engineering International, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

ABSTRACT This article focuses on progressive‐stress accelerated life testing (ALT) under a unified progressive hybrid censoring scheme. The study assumes that the lifetimes of test units follow Lomax distribution, with scale parameter modeled using cumulative exposure model and an inverse power law. parameters are estimated both classical Bayesian methods. approach uses maximum likelihood estimation for point estimates asymptotic confidence intervals. In contrast, employs informative noninformative priors, Metropolis–Hastings algorithm handling complex posterior computations. Extensive simulations evaluate performance various ALT, including simple multiple ramp‐stress tests. We have applied above methodology to real‐life data demonstrated its applicability. Furthermore, we introduce machine learning techniques analyze reliability model. employed three methods, such as random forest regression, decision tree multilayer perceptron estimate reliability. A comparative analysis all methods metrics has been discussed. compared statistical estimation.

Language: Английский

A numerical solution method for the fractional moment problem within engineering DOI
Yifan Wang, Ryuichi Tani, Kenetsu Uchida

et al.

Engineering Computations, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Purpose In the field of engineering, fractional moments random variables play a crucial role and are widely utilized. They applied in various areas such as structural reliability assessment analysis, studying response characteristics vibration systems optimizing signal processing control systems. This study focuses on calculating positive encountered engineering. Design/methodology/approach By integrating Laplace transforms with derivatives, both analytical practical numerical solutions derived. Furthermore, specific application methods provided. Findings approach allows for stable highly accurate calculation based integer variables. Data experiments included this demonstrate effectiveness method solving moment calculations Compared to traditional methods, proposed offers significant advantages stability accuracy, which can further advance research engineering that employs moments. Originality/value (1) Accuracy: Although does involve some error, its error level is significantly lower than Taylor expansion method. (2) Stability: The computational not only minimal but also remains within narrow range order varies. (3) Efficiency: used method, requires number integer-order achieve desired results. Additionally, it avoids convergence issues during computation, greatly reducing resource requirements. (4) Simplicity: steps very straightforward, offering applications.

Language: Английский

Citations

0
Risk analysis in ocean and maritime engineering DOI
Ana Margarida Bento, Tiago Fazeres-Ferradosa, Paulo Rosa-Santos

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 120579 - 120579

Published: Feb. 1, 2025

Language: Английский

Citations

0
Insulator Defect Detection Algorithm Based on Improved YOLOv11n DOI Creative Commons
Junmei Zhao,

Shanshan Miao,

Rui Kang

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1327 - 1327

Published: Feb. 21, 2025

Ensuring the reliability and safety of electrical power systems requires efficient detection defects in high-voltage transmission line insulators, which play a critical role isolation mechanical support. Environmental factors often lead to insulator defects, highlighting need for accurate methods. This paper proposes an enhanced defect approach based on lightweight neural network derived from YOLOv11n architecture. Key innovations include redesigned C3k2 module that incorporates multidimensional dynamic convolutions (ODConv) improved feature extraction, introduction Slimneck reduce model complexity computational cost, application WIoU loss function optimize anchor box handling accelerate convergence. Experimental results demonstrate proposed method outperforms existing models like YOLOv8 YOLOv10 precision, recall, mean average precision (mAP), while maintaining low complexity. provides promising solution real-time, high-accuracy detection, enhancing systems.

Language: Английский

Citations

0
Machine learning-based enhanced Monte Carlo simulation for low failure probability structural reliability analysis DOI

Hongyang Guo,

Changqi Luo, Shun‐Peng Zhu

et al.

Structures, Journal Year: 2025, Volume and Issue: 74, P. 108530 - 108530

Published: Feb. 25, 2025

Language: Английский

Citations

0
Shale volume estimation using machine learning methods from the southwestern fields of Iran DOI Creative Commons
Parmida Seraj Ebrahimi, A.A. Ranjbar, Yousef Kazemzadeh

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104506 - 104506

Published: Feb. 1, 2025

Language: Английский

Citations

0
Uncertainty-based fatigue life of vehicle subframe via improved bootstrap method under load extrapolation DOI Creative Commons

W.Q. Li,

Xintian Liu,

Weihao Su

et al.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Fatigue failures in vehicle subframes are a critical challenge due to complex and unpredictable loads. Traditional methods often fail capture the uncertainty load conditions, resulting unreliable fatigue life predictions. This study introduces an improved bootstrap method address these uncertainties. Real-world testing data were used construct spectra with Generalized Pareto Distribution model, enabling accurate prediction of rare but impactful events. The rain-flow counting was perform frequency statistics on signals. obtained S-N curve corrected based Haibach theory. process provided distribution parameters mean amplitude. then estimated using modified Miner’s theory, which achieved significant improvements accuracy reliability. improves can be applied product design improvement mechanical engineering related fields.

Language: Английский

Citations

0
Numerical study on the punching shear strength of edge steel-reinforced concrete slab-column connections DOI Creative Commons
Ahmed Gouda

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104581 - 104581

Published: March 1, 2025

Language: Английский

Citations

0
Robust Modeling Method and Robust Optimization of Energy Absorption Box DOI Creative Commons

Quanwei Che,

Yanbin Sun,

Tianshi Xu

et al.

Shock and Vibration, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

In the design of thin‐walled, energy‐absorbing structures, uncertain factors can lead to deviations in actual energy absorption performance from expectations. Robust optimization method, which seeks optimize objectives based on mean and variance responses factors, has become a primary means enhancing product robustness against disturbances. However, current research only ideally defined parameter without specifically simulating perspective manufacturing processes. This paper proposes modeling method for boxes. simulates thickness steel shell box because rolling process position partition plate assembly process. Through finite element simulation, it revealed impact mechanism performance. Furthermore, OLHS sampling RSM approximation functions, proxy model was established analyze sensitivity under uniform normal distributions. Finally, robust carried out box. Research shows that compared with simply defining deviations, deformation changes influence leading significant differences The distribution form affects ranking sensitive but does not affect shape Pareto frontier optimization. When are normally distributed, optimized optimal solution better robustness.

Language: Английский

Citations

0
Improving three-term conjugate gradient methods for training artificial neural networks in accurate heart disease prediction DOI
Alaa Luqman Ibrahim,

Bayda Ghanim Fathi,

Maiwan Bahjat Abdulrazzaq

et al.

Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Language: Английский

Citations

0
A method for calculating the reinforcement of RC annular columns by hand DOI
L.N. Li, Donghua Zhou,

Chao Shuang

et al.

International Journal of Structural Integrity, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Purpose To calculate the bearing capacity of annular reinforced concrete (RC) columns, if second-order effects members under bending and axial forces are further considered, both nominal curvature method stiffness in EC2 require iterative calculations. obtain a non-iterative calculation method. Design/methodology/approach The constitutive relationship RC is adopted, known cross-sectional strain used to determine section, model column adopted component’s effect. distribution law equilibrium point sectional resistance external action analysed, simplified formula for calculating proposed. Findings Based on above work, nomogram drawn columns. Finally, numerical results compared through specific examples. show that very close always leans towards safety. It can serve as supplement code provide design verification Originality/value A reinforcement columns by hand.

Language: Английский

Citations

0