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Machines, Volume 13, Issue 5

2025 May - 100 articles

Cover Story: This paper presents the development of an adaptive thermal protection system for synchronous machines based on Long Short-Term Memory (LSTM) recurrent neural networks. Unlike conventional protection methods with fixed alarm and trip thresholds, this system dynamically adjusts these thresholds according to the machine’s operating conditions and thermal behavior. Real temperature data collected from multiple sensors installed in the stator windings and iron core of a 5.5 kVA generator were used to train and validate the model. The system uses electrical variables and cooling air temperatures to predict internal temperatures in real time. The results show that this approach significantly enhances protection performance and lays the groundwork for future applications in predictive maintenance and fault diagnosis. View this paper
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Articles (100)

  • Article
  • Open Access
959 Views
21 Pages

Autonomous Sewer Robot: A Laser Marker-Based Detection System

  • Vygantas Ušinskis,
  • Andrius Dzedzickis,
  • Justas Nekrašas and
  • Vytautas Bučinskas

Navigation technologies are becoming more advanced, helping to solve complicated problems in various fields. Navigation can be classified as global, in which predefined data and reference points from the working environment are used to generate a pat...

  • Article
  • Open Access
1 Citations
994 Views
27 Pages

During geomagnetic storms, a geomagnetically induced current (GIC) flows into grounding transformers, potentially causing anomalous vibrations and audible noise in internal components. This study establishes an electromagnetic–mechanical–...

  • Article
  • Open Access
4 Citations
3,041 Views
24 Pages

Design of JARI: A Robot to Enhance Social Interaction in Children with Autism Spectrum Disorder

  • Ericka Patricia Madrid Ruiz,
  • Héctor Hugo Oscanoa Fernández,
  • Cecilia E. García Cena and
  • Raquel Cedazo León

Robots designed for children with Autism Spectrum Disorder (ASD) have demonstrated potential in promoting social engagement and emotional learning. This study presents the design and preliminary evaluation of JARI, a social robot developed to support...

  • Article
  • Open Access
7 Citations
3,006 Views
26 Pages

This study introduces a novel magnetorheological (MR) damper for semi-active vehicle suspension systems that enhance ride comfort and handling stability. The proposed damper integrates reverse and normal damping modes, enabling independent control of...

  • Article
  • Open Access
2 Citations
1,482 Views
18 Pages

Fault Diagnosis in a 2 MW Wind Turbine Drive Train by Vibration Analysis: A Case Study

  • Rafael Tuirán,
  • Héctor Águila,
  • Esteve Jou,
  • Xavier Escaler and
  • Toufik Mebarki

This paper presents a vibration analysis method for detecting typical faults in gears of the drive train of a 2 MW wind turbine. The data were collected over a one-year period from an operating wind turbine with a gearbox composed of one planetary st...

  • Article
  • Open Access
2 Citations
1,583 Views
29 Pages

The dynamic error is the dominant factor affecting multi-axis CNC machining accuracy. Predicting and compensating for dynamic errors is vital in high-speed machining. This paper proposes a novel prediction-model-based approach to predict and compensa...

  • Article
  • Open Access
2 Citations
1,060 Views
19 Pages

The spacer is an important component of a transmission line and can effectively prevent wires from whipping each other and inhibit vibration. Given the complex installation conditions of multi-split lines, the installation of spacers is mainly achiev...

  • Article
  • Open Access
1 Citations
2,688 Views
26 Pages

With the growing demand for personalized and flexible production, human–robot collaboration technology receives increasing attention. However, enabling robots to accurately perceive and align with human motion intentions remains a significant c...

  • Article
  • Open Access
2 Citations
1,550 Views
16 Pages

This study investigates the machining performance of AZ91D magnesium alloy under three different cooling environments: dry, minimum quantity lubrication (MQL), and nano-reinforced MQL (NanoMQL) with multi-walled carbon nanotubes. Turning experiments...

  • Review
  • Open Access
7 Citations
5,184 Views
32 Pages

Neurological disorders like stroke are one of the main causes of motor dysfunction and gait function disabilities in humans. These disorders impact the mobility of patients often leading to weakened and impaired ankle joints which further compromise...

  • Article
  • Open Access
1 Citations
1,058 Views
19 Pages

Conceptual Design and Analysis of a Trans-Domain Aircraft Based on the Camber Morphing Wing

  • Mingzhen Wang,
  • Mingxuan Xu,
  • Xing Shen,
  • Zhenyang Lai,
  • Yan Zhao,
  • Chen Wang and
  • Qi Hu

Multi-functionality and high mission adaptability are important trends in the development of future aircrafts. Trans-domain aircraft, with their unique take-off and landing capabilities and cross-medium capability, have significant potential in the f...

  • Article
  • Open Access
6 Citations
1,867 Views
28 Pages

Elevators serve as essential vertical transportation systems for both passengers and heavy loads in modern buildings. Electromechanical lifts have become the dominant choice due to their performance advantages over hydraulic systems. A critical compo...

  • Article
  • Open Access
1,916 Views
21 Pages

Tactile Force Sensing for Admittance Control on a Quadruped Robot

  • Thijs Van Hauwermeiren,
  • Annelies Coene and
  • Guillaume Crevecoeur

Ground reaction forces (GRFs) are the primary interaction forces that enable a legged robot to maintain balance and perform locomotion. Most quadruped robot controllers estimate GRFs indirectly using joint torques and a kinematic model, which depend...

  • Article
  • Open Access
4 Citations
1,275 Views
20 Pages

Research on Vehicle Road Noise Prediction Based on AFW-LSTM

  • Yan Ma,
  • Ruxue Dai,
  • Tao Liu,
  • Jian Liu,
  • Shukai Yang and
  • Jingjing Wang

The electrification of automobiles makes low-frequency road noise the main factor affecting the performance of automobile NVH (Noise, Vibration and Harshness). High-precision and high-efficiency road noise prediction results are the basis for NVH per...

  • Article
  • Open Access
5 Citations
1,390 Views
19 Pages

An Adaptive Control Strategy with Switching Gain and Forgetting Factor for a Robotic Arm Manipulator

  • Mohammed Yousri Silaa,
  • Oscar Barambones,
  • Aissa Bencherif and
  • Ilyas Rougab

This paper presents an adaptive sliding mode controller (ASMC) with the implication of a forgetting factor for a two-degree-of-freedom (2-DOF) arm robot manipulator trajectory tracking. The proposed approach builds upon conventional sliding mode cont...

  • Article
  • Open Access
3 Citations
1,688 Views
27 Pages

This study proposes a hybrid framework for rolling bearing fault diagnosis by integrating a Variational Mode Decomposition–Discrete Wavelet Transform (VMD-DWT) with a Hybrid Attention-Based Depthwise Separable CNN-BiLSTM (HADS-CNN-BiLSTM) to ad...

  • Article
  • Open Access
1,704 Views
16 Pages

In this paper, we are looking for the answer to the following question: what geometric deviations do polymer gears made by 3D printing have from the theoretical geometry? From a practical point of view, the question is whether the currently installed...

  • Article
  • Open Access
1 Citations
1,610 Views
25 Pages

This research presents an advanced autonomous HVAC control system tailored for a chemical fiber factory, emphasizing the human-centric principles and collaborative potential of Industry 5.0. The system architecture employs several functional levels&m...

  • Article
  • Open Access
1 Citations
2,334 Views
15 Pages

With the strengthening of international motor efficiency regulations, the new line-start synchronous reluctance motor (LS-SynRM), which does not require magnets or control units, is being studied to improve the efficiency of motors in industrial appl...

  • Article
  • Open Access
2 Citations
1,515 Views
18 Pages

This paper focuses on the design analysis of a novel 5-degrees of freedom (DOF) double-driven parallel mechanism (PM). By arranging two independent actuators on one branch chain, the mechanism can realize the five degrees of freedom of the moving pla...

  • Article
  • Open Access
1,338 Views
28 Pages

Active Torsional Vibration Suppression Strategy for Power-Split-HEV Driveline System Based on Dual-Loop Control

  • Wei Zhang,
  • Xiaocong Liang,
  • Zhengda Han,
  • Lei Bu,
  • Jingang Liu,
  • Bing Fu and
  • Mozhang Jiang

Power-split hybrid electric vehicles (power-split-HEVs) exhibit significant engine torque fluctuations due to their mechanical coupling with the driveline, leading to pronounced torsional vibration issues in the drive shaft. This study investigates a...

  • Article
  • Open Access
1,240 Views
34 Pages

Conductive slip rings (CSRs) are precision components critical to industrial equipment, yet they face challenges such as unstable signal transmission, limited functionality, and difficulties in operational monitoring due to assembly-induced inaccurac...

  • Article
  • Open Access
1 Citations
1,893 Views
34 Pages

Against the backdrop of accelerating transformation in traditional mechanical manufacturing toward intelligent production models integrating mechanical, electronic, and information technologies, coupled with increasing demands for mass customization,...

  • Article
  • Open Access
1,252 Views
23 Pages

To investigate the mechanisms of unexpected failures in a multi-stage gear transmission system under a relatively low load, a rigid–flexible coupled multi-body dynamics model with 10 spur gears and 12 helical gears is established. The dynamic c...

  • Article
  • Open Access
7 Citations
2,076 Views
20 Pages

Intention recognition in Human–Robot Interaction (HRI) is critical for enabling robots to anticipate and respond to human actions effectively. This study explores the application of deep learning techniques for the classification of human inten...

  • Article
  • Open Access
4 Citations
1,642 Views
19 Pages

Multi-Scale Residual Convolutional Neural Network with Hybrid Attention for Bearing Fault Detection

  • Yanping Zhu,
  • Wenlong Chen,
  • Sen Yan,
  • Jianqiang Zhang,
  • Chenyang Zhu,
  • Fang Wang and
  • Qi Chen

This paper proposes an advanced deep convolutional neural network model for motor bearing fault detection that was designed to overcome the limitations of traditional models in feature extraction, accuracy, and generalization under complex operating...

  • Article
  • Open Access
1 Citations
3,966 Views
20 Pages

Battery Electric Vehicles: A Study on State of Charge and Cost-Effective Solutions for Addressing Range Anxiety

  • Jason Pollock,
  • Perk Lin Chong,
  • Manu Ramegowda,
  • Nashwan Dawood,
  • Hossein Habibi,
  • Zhonglan Hou,
  • Foad Faraji and
  • Pengyan Guo

While Battery Electric Vehicles (BEVs) offer environmental benefits by reducing carbon emissions during use, their range remains limited compared to conventionally fuelled vehicles. This paper focuses on identifying factors that directly influence BE...

  • Article
  • Open Access
1,042 Views
19 Pages

In the era of digitalization, prescriptive maintenance and equipment condition monitoring are essential for ensuring the continuity of operations in various industries. The proposed software solution provides an integrated solution for monitoring and...

  • Article
  • Open Access
1 Citations
826 Views
22 Pages

For the guide vane adjusting mechanism, precision represents the primary design requirement. Meanwhile, due to the presence of aerodynamic loads under actual operating conditions, stagnation forces emerge that affect the mechanism motion characterist...

  • Article
  • Open Access
1,066 Views
21 Pages

Because of their transient working mode and end effects, it is particularly difficult to compute high-frequency electromagnetic forces on linear induction motors under PWM current simulation. The current methods for computing high-frequency electroma...

  • Article
  • Open Access
1,286 Views
16 Pages

In light of the large and fast-growing use of power electronics in electrical generation, distribution and utilization systems, and with the focus on electrified transportation, evaluating the significance of testing insulation systems for design and...

  • Article
  • Open Access
1 Citations
961 Views
23 Pages

Feasibility Assessment of Novel Multi-Mode Camshaft Design Through Modal Analysis

  • Merve Üngör,
  • Osman Taha Sen,
  • Akif Yavuz and
  • Cemal Baykara

Camshafts in internal combustion engines are critical components not only for mechanical functionality but also for dynamic performance and vibration characteristics. This study aims to present a comprehensive modal analysis of the camshaft by integr...

  • Article
  • Open Access
1,500 Views
17 Pages

A novel expandable wheel body assembly is designed in this paper. The wheel body assembly utilizes the elastic deformation of the hub to clamp the bearing assembly. The gaps between them are effectively eliminated by this structure, improving the rot...

  • Article
  • Open Access
3 Citations
1,100 Views
19 Pages

Stabilization and tracking problems for cart inverted pendulums under disturbances and uncertainties have posed significant challenges for control engineers. While various controllers have been designed for an inverted pendulum, they often overlook t...

  • Article
  • Open Access
1 Citations
925 Views
27 Pages

Due to the various application scenarios of micro-positioning platforms, designing the structure of a micro-positioning platform that accommodates performance specifications for specific real-world applications presents significant challenges. Piezoe...

  • Article
  • Open Access
3 Citations
1,484 Views
27 Pages

Vertical-axis wind turbines (VAWTs) offer key advantages such as independence from wind direction, low manufacturing costs, and reduced noise levels, making them highly suitable for urban and offshore wind energy applications. Among various VAWT desi...

  • Article
  • Open Access
721 Views
18 Pages

As physical capabilities decline with age, elderly individuals often require assistance from others when using the toilet. An auxiliary standing toilet chair can enhance convenience for the elderly, allowing them to use the toilet independently. Comm...

  • Article
  • Open Access
13 Citations
4,795 Views
16 Pages

Intelligent Thermal Condition Monitoring for Predictive Maintenance of Gas Turbines Using Machine Learning

  • Sadiq T. Bunyan,
  • Zeashan Hameed Khan,
  • Luttfi A. Al-Haddad,
  • Hayder Abed Dhahad,
  • Mustafa I. Al-Karkhi,
  • Ahmed Ali Farhan Ogaili and
  • Zainab T. Al-Sharify

Gas turbines play a crucial role in power generation and aviation, where effective maintenance strategies are essential to ensure reliability. Traditional condition monitoring methods often rely on scheduled inspections, leading to potential downtime...

  • Article
  • Open Access
7 Citations
3,014 Views
28 Pages

Predicting Remaining Useful Life of Induction Motor Bearings from Motor Current Signatures Using Machine Learning

  • Nurul Zahirah Zulkifli,
  • Bhukya Ramadevi,
  • Kishore Bingi,
  • Rosdiazli Ibrahim and
  • Madiah Omar

Ensuring the reliability of induction motors is essential for industrial applications, as motor failures can lead to unplanned downtime and significant financial losses. Motor current signature analysis (MCSA) has emerged as an effective and non-intr...

  • Article
  • Open Access
860 Views
28 Pages

A Novel Dynamic Characteristic for Detecting Breathing Cracks in Blades Based on Vibration Response Envelope Analysis

  • Minghao Pan,
  • Yongmin Yang,
  • Fengjiao Guan,
  • Haifeng Hu,
  • Zifang Bian,
  • Wenkang Huang,
  • Bohao Xiao and
  • Ang Li

Fatigue cracks in blades pose a significant threat to the safe operation of rotating machinery. Currently, the application of non-contact displacement sensors in blade vibration measurements has enabled the widespread analysis of nonlinear dynamic ch...

  • Article
  • Open Access
2 Citations
4,009 Views
21 Pages

Development and Evaluation of a Tool for Blind Users Utilizing AI Object Detection and Haptic Feedback

  • Georgios Voutsakelis,
  • Ioannis Dimkaros,
  • Nikolaos Tzimos,
  • George Kokkonis and
  • Sotirios Kontogiannis

This paper presents the development and evaluation of a smartphone application designed to improve accessibility for blind users. It uses the lightweight EfficientDet-lite2 model and the comprehensive COCO dataset in order to provide real-time object...

  • Review
  • Open Access
2,069 Views
26 Pages

This paper provides a comprehensive review of the current state of research on robotic technologies in sports, with a specific emphasis on skiing. Using a systematic review methodology, I conducted an extensive search for relevant academic articles a...

  • Article
  • Open Access
1 Citations
1,063 Views
13 Pages

Strength Characteristics Prediction of the Metal Obtained by Wire Arc Additive Manufacturing

  • Evgeny Tongov,
  • Vladimir Petkov,
  • Vanya Dyakova,
  • Tatiana Simeonova and
  • Manahil Tongov

The mechanical properties of metals produced by Wire Arc Additive Manufacturing (WAAM) differ significantly from those of rolled sheets due to their cast-like structure and repeated thermal cycling. This study aims to develop a predictive model capab...

  • Article
  • Open Access
1,193 Views
27 Pages

Study of the Influence of the Two-Drive-Axle Bogie Parameters on the Three-Axle Vehicle Handling

  • Vasyl Mateichyk,
  • Anatolii Soltus,
  • Eduard Klimov,
  • Miroslaw Smieszek,
  • Nataliia Kostian,
  • Liudmyla Tarandushka and
  • Nazar Marchuk

The presence of a bogie in three-axle vehicles when moving along a curved trajectory leads to deterioration in its handling and maneuverability. The paper developed a mathematical model of the elastic bogie wheel while moving along a curvilinear traj...

  • Article
  • Open Access
699 Views
23 Pages

In this paper, the time-varying mesh stiffness (TVMS) of a gear is meticulously derived using the potential energy method (PEM) and an analytical expression for it is obtained. Subsequently, calculations are performed to determine the effects of crac...

  • Article
  • Open Access
3 Citations
2,235 Views
25 Pages

With the advancement of vehicle electrification and intelligence, changes in powertrain system architecture and the addition of battery components have significantly deteriorated vehicle dynamics characteristics. Adjustable damping dampers improve ve...

  • Article
  • Open Access
1 Citations
677 Views
20 Pages

In the development trend of intelligent and high-performance construction machinery, the dual-spool electro-hydraulic valve, as a new-generation core control element, directly affects the operation accuracy and energy-efficiency level of construction...

  • Article
  • Open Access
3 Citations
1,461 Views
22 Pages

Road roughness exerts a direct influence on the vertical dynamic performance of vehicles, and the accurate characterization of road roughness is essential for optimizing vehicle suspension systems. This paper addresses two key challenges in roughness...

  • Article
  • Open Access
2 Citations
1,163 Views
22 Pages

Performance Comparison of Permanent Magnet Vernier Motors and Permanent Magnet Synchronous Motors

  • Yunjiao Li,
  • Jing Zhao,
  • Jie Fu,
  • Yinliang Xia,
  • Wei Wang and
  • Xiaobei Li

Nowadays, motor type plays a significant role in the vehicle performances. This article compares various types of permanent magnet vernier motors (PMVMs) with different shapes of field modulation teeth and different numbers of field modulation poles...

  • Article
  • Open Access
1,388 Views
20 Pages

Design, Simulation and Experimental Validation of a Pneumatic Actuation Method for Automating Manual Pipetting Devices

  • Valentin Ciupe,
  • Erwin-Christian Lovasz,
  • Robert Kristof,
  • Melania-Olivia Sandu and
  • Carmen Sticlaru

This study provides a set of designs, simulations and experiments for developing an actuating method for manual pipettes. The goal is to enable robotic manipulation and automatic pipetting, while using manual pipetting devices. This automation is des...

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Machines - ISSN 2075-1702