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{ "item_title" : "Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis", "item_author" : [" Zijian Qiao", "Ke Feng", "Zhihui Lai "], "item_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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/72/584/965/372584965X_b.jpg", "price_data" : { "retail_price" : "83.71", "online_price" : "83.71", "our_price" : "83.71", "club_price" : "83.71", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis|Zijian Qiao

Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis

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Overview

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.

Details

  • ISBN-13: 9783725849659
  • ISBN-10: 372584965X
  • Publisher: Mdpi AG
  • Publish Date: August 2025
  • Dimensions: 9.61 x 6.69 x 0.56 inches
  • Shipping Weight: 1.18 pounds
  • Page Count: 154

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