Zerrendatu honen arabera: non argitaratua "Sensors"
18-tik 1-18 emaitza erakusten
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Anomaly Detection and Automatic Labeling for Solar Cell Quality Inspection Based on Generative Adversarial Network
(MDPI, 2021)Quality inspection applications in industry are required to move towards a zero-defect manufacturing scenario, with non-destructive inspection and traceability of 100% of produced parts. Developing robust fault detection ... -
Data-Driven Fault Diagnosis for Electric Drives: A Review
(MDPI, 2021)The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has ... -
Data‐Driven Low‐Frequency Oscillation Event Detection Strategy for Railway Electrification Networks
(MDPI, 2023)Low-frequency oscillations (LFO) occur in railway electrification systems due to the incorporation of new trains with switching converters. As a result, the increased harmonic content can cause catenary stability problems ... -
DC-Link Voltage and Catenary Current Sensors Fault Reconstruction for Railway Traction Drives
(MDPI AG, 2018)Due to the importance of sensors in control strategy and safety, early detection of faults in sensors has become a key point to improve the availability of railway traction drives. The presented sensor fault reconstruction ... -
FPGA-Based Degradation and Reliability Monitor for Underground Cables
(MDPI AG, 2019)The online Remaining Useful Life (RUL) estimation of underground cables and their reliability analysis requires obtaining the cable failure time probability distribution. Monte Carlo (MC) simulations of complex thermal ... -
A Generalization Performance Study Using Deep Learning Networks in Embedded Systems
(MDPI, 2021)Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the ... -
A Holistic and Interoperable Approach towards the Implementation of Services for the Digital Transformation of Smart Cities: The Case of Vitoria-Gasteiz
(MDPI, 2021)Cities in the 21st century play a major role in the sustainability and climate impact reduction challenges set by the European agenda. As the population of cities grows and their environmental impact becomes more evident, ... -
A Hybrid Sensor Fault Diagnosis for Maintenance in Railway Traction Drives
(MDPI AG, 2020)Due to the importance of sensors in railway traction drives availability, sensor fault diagnosis has become a key point in order tomove frompreventivemaintenance to condition-basedmaintenance. Most research works are limited ... -
Integral Sensor Fault Detection and Isolation for Railway Traction Drive
(MDPI AG, 2018)Due to the increasing importance of reliability and availability of electric traction drives in Railway applications, early detection of faults has become an important key for Railway traction drive manufacturers. Sensor ... -
Low Cost Photonic Sensor for in-Line Oil Quality Monitoring: Methodological Development Process towards Uncertainty Mitigation
(MDPI AG, 2018)Lubricant and hydraulic fluid ageing impacts the performance of the machines, gears, transmissions or automatisms where they are being used. This manuscript describes the work accomplished for bringing an innovative ... -
A Multi Camera and Multi Laser Calibration Method for 3D Reconstruction of Revolution Parts
(MDPI, 2021)This paper describes a method for calibrating multi camera and multi laser 3D triangulation systems, particularly for those using Scheimpflug adapters. Under this configuration, the focus plane of the camera is located at ... -
Neural Network Direct Control with Online Learning for Shape Memory Alloy Manipulators
(MDPI AG, 2019)New actuators and materials are constantly incorporated into industrial processes, and additional challenges are posed by their complex behavior. Nonlinear hysteresis is commonly found in shape memory alloys, and the ... -
Neuro-Sliding Control for Underwater ROV’s Subject to Unknown Disturbances
(MDPI, 2019)Proposed in this paper is a model-free and chattering-free second order sliding mode control(2nd-SMC) in combination with a backpropagation neural network (BP-NN) control scheme for underwater vehicles to deal with external ... -
Novel High Accuracy Resolver Topology for Space Applications
(MDPI, 2021)In recent years, the space industry has experienced a significant change mainly due to the incursion of private companies, which has shaken up the sector. This new situation allows for a reduction regarding the reliability ... -
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals
(MDPI, 2021)There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining ... -
A Novel Model for Vulnerability Analysis through Enhanced Directed Graphs and Quantitative Metrics
(MDPI, 2022)The rapid evolution of industrial components, the paradigm of Industry 4.0, and the new connectivity features introduced by 5G technology all increase the likelihood of cybersecurity incidents. Such incidents are caused ... -
On the Role of Contact and System Stiffness in the Measurement of Principal Variables in Fretting Wear Testing
(MDPI AG, 2020)In this work, the role of the contact stiffness in the measurement of principal variables in fretting wear tests is assessed. Several fretting wear tribometers found in the literature, including one developed by the authors, ... -
Optical Dual Laser Based Sensor Denoising for OnlineMetal Sheet Flatness Measurement Using Hermite Interpolation
(MDPI AG, 2020)Flatness sensors are required for quality control of metal sheets obtained from steel coils by roller leveling and cutting systems. This article presents an innovative system for real-time robust surface estimation of ...
