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Collaborative and trustworthy fault diagnosis for mechanical systems based on probabilistic neural network with decision-level information fusion

Research article (Journal of Industrial Information Integration, 2025) · cited 11× · AI/ML
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Collaborative and trustworthy fault diagnosis for mechanical systems based on probabilistic neural network with decision-level information fusion

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Collaborative and trustworthy fault diagnosis for mechanical systems based on probabilistic neural network with decision-level information fusion is a scholarly article[1].

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  • Collaborative and trustworthy fault diagnosis for mechanical systems based on probabilistic neural network with decision-level information fusion's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Collaborative and trustworthy fault diagnosis for mechanical systems based on probabilistic neural network with decision-level information fusion. Retrieved May 24, 2026, from https://4ort.xyz/entity/collaborative-and-trustworthy-fault-diagnosis-for-mechanical-systems-based-on-probabilistic-neural-network-with-decision
MLA “Collaborative and trustworthy fault diagnosis for mechanical systems based on probabilistic neural network with decision-level information fusion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/collaborative-and-trustworthy-fault-diagnosis-for-mechanical-systems-based-on-probabilistic-neural-network-with-decision.
BibTeX @misc{4ortxyz_collaborative-and-trustworthy-fault-diagnosis-for-mechanical-systems-based-on-probabilistic-neural-network-with-decision_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Collaborative and trustworthy fault diagnosis for mechanical systems based on probabilistic neural network with decision-level information fusion}}, year = {2026}, url = {https://4ort.xyz/entity/collaborative-and-trustworthy-fault-diagnosis-for-mechanical-systems-based-on-probabilistic-neural-network-with-decision}, note = {Accessed: 2026-05-24}}
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