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Induction motor fault diagnosis using multiple class feature selection

Research article (2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015) · cited 19× · AI/ML
academia openalex:W1564484096
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Induction motor fault diagnosis using multiple class feature selection

Summary

Induction motor fault diagnosis using multiple class feature selection is a scholarly article[1].

Key Facts

  • Induction motor fault diagnosis using multiple class feature selection's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Induction motor fault diagnosis using multiple class feature selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/induction-motor-fault-diagnosis-using-multiple-class-feature-selection
MLA “Induction motor fault diagnosis using multiple class feature selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/induction-motor-fault-diagnosis-using-multiple-class-feature-selection.
BibTeX @misc{4ortxyz_induction-motor-fault-diagnosis-using-multiple-class-feature-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Induction motor fault diagnosis using multiple class feature selection}}, year = {2026}, url = {https://4ort.xyz/entity/induction-motor-fault-diagnosis-using-multiple-class-feature-selection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Induction motor fault diagnosis using multiple class feature selection — https://4ort.xyz/entity/induction-motor-fault-diagnosis-using-multiple-class-feature-selection (retrieved 2026-05-24)

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