Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis

The aim of this Reprint is to educate the readers on the advanced fault or defect detection and diagnosis methods of machines and structures, even including a few advanced sensing techniques. We aim to uncover cutting-edge methodologies for mechanical and structural fault detection and diagnosis, wi...

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Հրապարակվել է: MDPI - Multidisciplinary Digital Publishing Institute 2026
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collection Directory of Open Access Books
description The aim of this Reprint is to educate the readers on the advanced fault or defect detection and diagnosis methods of machines and structures, even including a few advanced sensing techniques. We aim to uncover cutting-edge methodologies for mechanical and structural fault detection and diagnosis, with a focus on bearing diagnosis and signal processing innovation. Key advances include adaptive signal denoising and enhancement through utilizing noise, precision sensing hardware, AI-based diagnostics and data analysis. This Reprint would provide abundant and systemic content, from precise measurement, to signal processing-based signature extraction, to AI-empowered diagnosis frameworks.
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institution Directory of Open Access Books
language eng
publishDate 2026
publishDateRange 2026
publishDateSort 2026
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1706422026-01-02T16:20:09Z Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis Qiao, Zijian Feng, Ke Lai, Zhihui structural health monitoring mechanical fault diagnosis intelligent sensors defect detection signal sensing The aim of this Reprint is to educate the readers on the advanced fault or defect detection and diagnosis methods of machines and structures, even including a few advanced sensing techniques. We aim to uncover cutting-edge methodologies for mechanical and structural fault detection and diagnosis, with a focus on bearing diagnosis and signal processing innovation. Key advances include adaptive signal denoising and enhancement through utilizing noise, precision sensing hardware, AI-based diagnostics and data analysis. This Reprint would provide abundant and systemic content, from precise measurement, to signal processing-based signature extraction, to AI-empowered diagnosis frameworks. 2026-01-02T16:20:06Z 2026-01-02T16:20:06Z 2025 book 978-3-7258-4965-9 https://directory.doabooks.org/handle/20.500.12854/170642 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/11370 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4966-6 10.3390/books978-3-7258-4966-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 978-3-7258-4965-9 154 CH open access
spellingShingle structural health monitoring
mechanical fault diagnosis
intelligent sensors
defect detection
signal sensing
Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis
title Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis
title_full Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis
title_fullStr Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis
title_full_unstemmed Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis
title_short Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis
title_sort intelligent sensors for structural health monitoring and mechanical fault diagnosis
topic structural health monitoring
mechanical fault diagnosis
intelligent sensors
defect detection
signal sensing
topic_facet structural health monitoring
mechanical fault diagnosis
intelligent sensors
defect detection
signal sensing
url https://directory.doabooks.org/handle/20.500.12854/170642