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Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring
Research article (Applied Sciences, 2023) · cited 113× · AI/ML
Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring
Summary
Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring is a scholarly article[1].
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Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring. Retrieved May 24, 2026, from https://4ort.xyz/entity/explainable-ai-for-machine-fault-diagnosis-understanding-features-contribution-in-machine-learning-models-for-industrial
MLA“Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/explainable-ai-for-machine-fault-diagnosis-understanding-features-contribution-in-machine-learning-models-for-industrial.
BibTeX@misc{4ortxyz_explainable-ai-for-machine-fault-diagnosis-understanding-features-contribution-in-machine-learning-models-for-industrial_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring}}, year = {2026}, url = {https://4ort.xyz/entity/explainable-ai-for-machine-fault-diagnosis-understanding-features-contribution-in-machine-learning-models-for-industrial}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring — https://4ort.xyz/entity/explainable-ai-for-machine-fault-diagnosis-understanding-features-contribution-in-machine-learning-models-for-industrial (retrieved 2026-05-24)
