Fault Detection of Induction Motor Using Fast Fourier Transform with Feature Selection via Principal Component Analysis

Research article (International Journal of Precision Engineering and Manufacturing, 2019) · cited 39× · AI/ML
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Fault Detection of Induction Motor Using Fast Fourier Transform with Feature Selection via Principal Component Analysis

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Fault Detection of Induction Motor Using Fast Fourier Transform with Feature Selection via Principal Component Analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fault Detection of Induction Motor Using Fast Fourier Transform with Feature Selection via Principal Component Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-detection-of-induction-motor-using-fast-fourier-transform-with-feature-selection-via-principal-component-analysis
MLA “Fault Detection of Induction Motor Using Fast Fourier Transform with Feature Selection via Principal Component Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-detection-of-induction-motor-using-fast-fourier-transform-with-feature-selection-via-principal-component-analysis.
BibTeX @misc{4ortxyz_fault-detection-of-induction-motor-using-fast-fourier-transform-with-feature-selection-via-principal-component-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault Detection of Induction Motor Using Fast Fourier Transform with Feature Selection via Principal Component Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/fault-detection-of-induction-motor-using-fast-fourier-transform-with-feature-selection-via-principal-component-analysis}, note = {Accessed: 2026-05-24}}
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