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January 1, 2026INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTSOpen Access

Non-Label-Dependent and Partially Guided Intelligent Structures for Multi-Category Equipment Degradation Identification

Dr.P.Latha Dr.P.Latha ARPUGONDA MAHENDAR GUGULOTHU SUPRIYA GATIKE SHAILESH VARMA

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Key Points

This research aims to develop an intelligent structure framework that identifies degradation across multi-category equipment without being heavily reliant on labels.
Developed intelligent structures for identifying equipment degradation.
Utilized partially guided mechanisms to enhance the identification process.
Tested on various equipment categories to assess effectiveness.
Successfully identified degradation instances in multiple equipment types.
Demonstrated improved accuracy in identification compared to traditional methods.
Showed potential for real-time monitoring applications.

Implication

This research identifies equipment degradation in multiple categories using intelligent structures, suggesting a novel approach for monitoring.

Abstract

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Cite This Study

Dr.P.Latha et al. (2026) studied this question.

synapsesocial.com/papers/69db375f4fe01fead37c5542 https://doi.org/10.56975/ijcrt.v14i4.302860

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