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Machines, Volume 14, Issue 1

2026 January - 134 articles

Cover Story: Vibration-based fault diagnosis and remaining useful life estimation (RULE) in drivetrains are hindered by varying operating conditions that mask early fault signatures. In this work, this problem is addressed via an AI digital platform in which statistical time series methods are integrated with deep learning models via a decision fusion scheme. Training relies on limited experimental data augmented with high-fidelity multibody and data-driven surrogate simulations. High accuracy is demonstrated across hundreds of experiments, achieving 99.8% detection accuracy, 97.8% fault identification accuracy, and over 96% accuracy in severity characterization. Reliable early-stage RUL estimates are obtained, confirming the platform’s robustness for real-world drivetrain monitoring. View this paper
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Articles (134)

  • Article
  • Open Access
244 Views
22 Pages

A Machine Learning Framework for the Prediction of Propeller Blade Natural Frequencies

  • Nícolas Lima Oliveira,
  • Afonso Celso de Castro Lemonge,
  • Patricia Habib Hallak,
  • Konstantinos G. Kyprianidis and
  • Stavros Vouros

21 January 2026

Characterization of propeller blade vibrations is essential to ensure aerodynamic performance, minimize noise emissions, and maintain structural integrity in aerospace and unmanned aerial vehicle applications. Conventional high-fidelity finite-elemen...

  • Article
  • Open Access
107 Views
16 Pages

21 January 2026

This paper addresses a recursive adaptive anti-lock braking (AB) control design problem for electro-hydraulic brake (EHB) systems subject to unknown tire–road-friction coefficients and disturbances. Compared with the relevant literature, the pr...

  • Article
  • Open Access
138 Views
15 Pages

21 January 2026

Laser local forming is an effective method for reshaping optical glass, yet the deformation of the material during the cooling phase remains poorly understood. This study investigates the dynamic evolution of the molten pool, specifically focusing on...

  • Article
  • Open Access
136 Views
30 Pages

Scalable Dual-Servo Pectoral Fin Platform for Biomimetic Robotic Fish: Hydrodynamic Experiments and Quasi-Steady CFD

  • Chaohui Zhang,
  • Zhanlin Bai,
  • Zhenghe Liu,
  • Jinbo Kuang,
  • Pei Li,
  • Qifang Yan,
  • Gaochao Zhao and
  • Elena Atroshchenko

21 January 2026

Biomimetic pectoral fin propulsion offers a low-noise, highly maneuverable alternative to conventional propellers for next-generation underwater robotic systems. This study develops a manta ray-inspired dual-servo pectoral fin module with a CPG-based...

  • Article
  • Open Access
280 Views
18 Pages

20 January 2026

E-scooters have become a widely adopted form of urban mobility, increasing the need to understand how vibration exposure affects comfort and safety. While most studies have examined the effects of speed, pavement roughness, and overall tire stiffness...

  • Article
  • Open Access
146 Views
15 Pages

20 January 2026

In the present work, a direct oil cooling strategy using a multi-nozzle configuration is proposed for the thermal management of high-power density electric machines. The stator and winding temperatures, heat transfer coefficient, injection pressure,...

  • Review
  • Open Access
190 Views
53 Pages

Progress in Aero-Engine Fault Signal Recognition and Intelligent Diagnosis

  • Shunming Li,
  • Wenbei Shi,
  • Jiantao Lu,
  • Haibo Zhang,
  • Yanfeng Wang,
  • Peng Zhang,
  • Mengqi Feng and
  • Yan Wang

19 January 2026

Accurate diagnosis of aero-engine faults and precise signal characterization are crucial to ensuring operational reliability and service life prediction. The structural complexity of engines and the variability of operating conditions pose significan...

  • Article
  • Open Access
168 Views
18 Pages

Vision-Based Perception and Execution Decision-Making for Fruit Picking Robots Using Generative AI Models

  • Yunhe Zhou,
  • Chunjiang Yu,
  • Jiaming Zhang,
  • Yuanhang Liu,
  • Jiangming Kan,
  • Xiangjun Zou,
  • Kang Zhang,
  • Hanyan Liang,
  • Sheng Zhang and
  • Fengyun Wu

19 January 2026

At present, fruit picking mainly relies on manual operation. Taking the litchi (litchi chinensis Sonn.)-picking robot as an example, visual perception is often affected by illumination variations, low recognition accuracy, complex maturity judgment,...

  • Article
  • Open Access
96 Views
18 Pages

19 January 2026

This paper studies the design of a privacy-preserving optimal state estimator for discrete-time linear systems.Insome traditional methods, such as noise injection, privacy is protected by adding noise to observations and the resulting data is decepti...

  • Article
  • Open Access
152 Views
28 Pages

19 January 2026

The current method of manually handling or using open-loop automation to deal with abnormal coal lumps on the scraper conveyor is inefficient due to constraints, such as safety concerns and equipment wear. To address inefficiencies in the handling of...

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Machines - ISSN 2075-1702