(2026). Digital Twin-based framework for real-time fault diagnosis and prognosis of industrial robots using unsupervised learning and real experimental data. International Journal of Data Science and Analytics.
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Chicago Style (17th ed.) Citation
"Digital Twin-based Framework for Real-time Fault Diagnosis and Prognosis of Industrial Robots Using Unsupervised Learning and Real Experimental Data."
International Journal of Data Science and Analytics 2026.
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MLA (9th ed.) Citation
"Digital Twin-based Framework for Real-time Fault Diagnosis and Prognosis of Industrial Robots Using Unsupervised Learning and Real Experimental Data."
International Journal of Data Science and Analytics, 2026.
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Warning: These citations may not always be 100% accurate.