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Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM

Research article (IEEE Access, 2020) · cited 21× · AI/ML
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Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM

Summary

Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM is a scholarly article[1].

Key Facts

  • Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM's instance of is recorded as scholarly article[2].

References

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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). Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-diagnosis-of-rolling-bearing-based-on-probability-box-theory-and-ga-svm
MLA “Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-diagnosis-of-rolling-bearing-based-on-probability-box-theory-and-ga-svm.
BibTeX @misc{4ortxyz_fault-diagnosis-of-rolling-bearing-based-on-probability-box-theory-and-ga-svm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM}}, year = {2026}, url = {https://4ort.xyz/entity/fault-diagnosis-of-rolling-bearing-based-on-probability-box-theory-and-ga-svm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM — https://4ort.xyz/entity/fault-diagnosis-of-rolling-bearing-based-on-probability-box-theory-and-ga-svm (retrieved 2026-05-24)

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