Previous
Previous Product Image

Air Cargo Network Resilience: Concepts, Influencing Factors, and Enhancement Paths

$0.00
Next

AlgaeClass_Net: Optimizing Few-Shot Marine Microalgae Classification With Multi-Scale Feature Enhancement Network

$0.00
Next Product Image

Aircraft Bearing Fault Diagnosis Method Based on LSTM-IDRSN

$0.00

Aircraft Bearing Fault Diagnosis Method Based on LSTM-IDRSN

$0.00

Research Materials Available – Subject to Confirmation

  • Design & Schematics
  • Code
  • Simulations
  • Documentation
  • Experimental Data

Research materials: Availability, pricing, and conditions will be checked. Then, a detailed offer will be provided. Please note: Availability and pricing are subject to author confirmation.

Add to Wishlist
Add to Wishlist

Additional information

Journal

IEEE Access

Authors

LEI WANG
KUN HE
HAIPENG FU
WEIXING CHEN

Keywords

Bearing fault diagnosis, deep residual shrinkage network, long short-term memory network,
noise interference

Research Figures

Available

Research Schematics

Available

Research Math Analysis

Available

Research Simulations

Available

Research Control

Available

Research Code

Available

Reviews

There are no reviews yet.

Be the first to review “Aircraft Bearing Fault Diagnosis Method Based on LSTM-IDRSN”

Your email address will not be published. Required fields are marked *

Vendor Information

  • No ratings found yet!

Follow Us

Stay connected for the latest updates, research insights, and community stories.

 

Sign Up To Newsletter

Subscribe to discover groundbreaking ideas, tools, and opportunities in research and innovation.

 


    Download App

    ResearchBack App is now available on App Store & Google Play.
    Get it now..

    Copyright © ResearchBack. All Rights Reserved. Powered by ResearchBack

    Shopping cart

    0
    image/svg+xml

    No products in the cart.

    Continue Shopping