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A Unified Structural Framework for Time–Frequency Analysis and Machine Learning in Condition Monitoring
Condition monitoring in engineering systems requires analytical frameworks that connect physically meaningful signal representations with statistically consistent decision mechanisms. Although spectral analysis, time–frequency methods, and machine learning have each advanced significantly, they are
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