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Machines, Volume 13, Issue 5

May 2025 - 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
886 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
901 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
2,806 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
6 Citations
2,797 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
1,374 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
1,468 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
990 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
2,495 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
1,454 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
5 Citations
4,920 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...

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Machines - ISSN 2075-1702