Machine Health Monitoring and Fault Diagnosis Techniques (Volume II)

ISBN 10: 3725827230 / ISBN 13: 9783725827237

Published by Mdpi AG, 2024

In. Seller Inventory # ria9783725827237_new

Synopsis:

This Special Issue brings together groundbreaking research focused on the enhancement of fault diagnosis and condition monitoring across various mechanical and electrical systems, leveraging advanced sensor technologies and intelligent diagnostic methods. The contributions encompass innovative approaches such as deep learning models for transformer and rolling bearing fault detection using vibration signals and time-frequency analyses, significantly boosting diagnostic accuracy and robustness. This collection also explores cutting-edge methodologies like Bayesian-optimized machine learning techniques and the application of vision transformers and convolutional neural networks to manage complex fault scenarios. With a strong emphasis on cross-domain diagnostics, the articles provide insight into the adaptive models capable of maintaining their performance across different operational conditions, enhancing real-time monitoring capabilities. This Special Issue is an essential resource for professionals and researchers dedicated to developing resilient and efficient solutions for equipment reliability, operational safety, and predictive maintenance. The collection reflects the forefront of sensor-based condition monitoring, fostering advances that support the sustainable and safe operation of critical systems.

Bibliographic Details

Title: Machine Health Monitoring and Fault ...
Publisher: Mdpi AG
Publication Date: 2024
Binding: Hardcover
Condition: New