eBiltegia - Digital repository of Mondragon Unibertsitatea
The Digital Repository of Mondragon Unibertsitatea provides you with full text access to the documents produced by the university as a result of its academic, research and institutional activity. Its purpose is to increase the visibility of University´s scientific and teaching production, to spread its impact and to assure its preservation, complying with the institution's Open Access policies:
You will find doctoral theses, bachelor and master thesis, teaching materials, university publications, working documents, preprints, postprints, articles, conference proceedings, data sets, institutional documents, etc.
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An Industry 4.0 maturity model for machine tool companies
(Elsevier, 2020)Industry 4.0 is the new productive paradigm that is driving the 4th industrial revolution. The specific difficulties in adapting to this new approach pose challenges for Machine Tool (MT) companies, mostly Small and Medium ... -
Analysis of the dynamic characterisation and behaviour of an elevator rope
(ISMA - International Conference on Noise and Vibration Engineering, 2020)The ropes of an elevator transmit the vibrations from the motor to the elevator car, and consequently have a great influence on comfort. Therefore, it is of major interest to analyse the dynamic behaviour of these elements, ... -
Comfort improvement of an elevator car by viscoelastic sandwich panels
(ISMA - International Conference on Noise and Vibration Engineering, 2020)Viscoelastic sandwich structures have become one of the most important techniques to reduce structural vibrations. These structures have a great damping capacity due to their viscoelastic core, and their metallic skins ... -
Analysis of the noise attenuation in ducts by means of rigid perforated panels
(ISMA - International Conference on Noise and Vibration Engineering, 2020)The noise of Heating, Ventilating and Air Conditioning (HVAC) systems is an important aspect to take into account when the comfort of the users is compromised. For instance, passengers in trains perceive this noise, which ... -
An interpretable operational state classification framework for elevators through Convolutional Neural Networks
(Wiley, 2025)Ensuring the safe, reliable, and cost-efficient operation of transportation systems such as elevators is critical for the maintenance of civil infrastructures. The ability to monitor the health state and classify different ...