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A Causal Inference Protocol for Root-cause Diagnosis in Non-stationary Industrial Time Series
Industrial fault diagnosis increasingly relies on data-driven methods, yet most approaches assume process stationarity and treat association-based rankings as sufficient evidence for root-cause identification. Neither assumption holds when operating phases and fault progression create distinct behav
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