Constarium
← Search

Data · dataset · 2025

Large Language Models for Prognostic Analysis in Mechanical Fault Diagnosis

Listed in ScienceDB

This dataset contains bearing fault signals of bearings, including outer ring faults, inner ring faults, and rolling element faults.

Description

It is used to build a comprehensive bearing fault diagnosis system that integrates technologies such as signal processing, time-frequency analysis, computer vision, and large language models (LLMs) to provide accurate fault diagnosis, cause analysis, and maintenance recommendations.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Communications engineering 69%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3017210 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:4006enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (69%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title