Please use this identifier to cite or link to this item:
http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/15652
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Meher, Umakanta | - |
dc.date.accessioned | 2024-12-23T06:57:32Z | - |
dc.date.available | 2024-12-23T06:57:32Z | - |
dc.date.issued | 2024-10 | - |
dc.identifier.govdoc | NB18480 | - |
dc.identifier.uri | http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/15652 | - |
dc.language.iso | en | en_US |
dc.publisher | IIT Kharagpur | en_US |
dc.subject | Structural Health Monitoring (SHM) | en_US |
dc.subject | Electro-Mechanical Impedance (EMI) Technique | en_US |
dc.subject | Artificial Neural Network (ANN) | en_US |
dc.subject | Correlation Coefficient (CC) | en_US |
dc.subject | Lead Zirconate Titanate (PZT) | en_US |
dc.title | Electromechanical Impedance Based Structural Health Monitoring Using Machine Learning | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Electromechanical Impedance Based Structural Health Monitoring Using Machine Learning |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
NB18480_Abstract.pdf | 400.57 kB | Adobe PDF | View/Open | |
NB18480_Thesis.pdf Restricted Access | 11.26 MB | Adobe PDF | View/Open Request a copy |
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