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Fault diagnosis of bearings through sound signal using statistical features and bayes classifier

Research article (2016) · cited 10× · AI/ML
academia openalex:W3152245996
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Fault diagnosis of bearings through sound signal using statistical features and bayes classifier

Summary

Fault diagnosis of bearings through sound signal using statistical features and bayes classifier is a scholarly article[1].

Key Facts

  • Fault diagnosis of bearings through sound signal using statistical features and bayes classifier'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 bearings through sound signal using statistical features and bayes classifier. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-diagnosis-of-bearings-through-sound-signal-using-statistical-features-and-bayes-classifier
MLA “Fault diagnosis of bearings through sound signal using statistical features and bayes classifier.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-diagnosis-of-bearings-through-sound-signal-using-statistical-features-and-bayes-classifier.
BibTeX @misc{4ortxyz_fault-diagnosis-of-bearings-through-sound-signal-using-statistical-features-and-bayes-classifier_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault diagnosis of bearings through sound signal using statistical features and bayes classifier}}, year = {2026}, url = {https://4ort.xyz/entity/fault-diagnosis-of-bearings-through-sound-signal-using-statistical-features-and-bayes-classifier}, 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 bearings through sound signal using statistical features and bayes classifier — https://4ort.xyz/entity/fault-diagnosis-of-bearings-through-sound-signal-using-statistical-features-and-bayes-classifier (retrieved 2026-05-24)

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