A seed dataset of 89 Nigerian machinery indicators plus 94 domain-grounded CoT rows, raising domain-grounded prompts from 1/78 to 94/94 and retrieval fidelity to 84/84.
and Li, N
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Tabular foundation models applied to PHM via signal-to-table conversion achieve the best average ranks across prognostic and diagnostic tasks and remain competitive in low-data regimes.
On a 10-bearing PHME subset, a residual-calibrated fusion model hits ~0.15 normalized MAE and 0.90 average 90% coverage under leave-regime-out splits, while conditional diagnostics expose 0.666 coverage and raw-channel-loss collapse.
CNN-LSTM model predicts nine functional variables with uncertainty estimates for an angle grinder and integrates finite-element fatigue analysis to produce reliability trajectories for reuse decisions.
Tailored nullspace-based FDI synthesis conditions for closed-loop systems are derived and validated through experiments on a large-scale wafer stage prototype.
citing papers explorer
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Nigeria Machinery: A Low-Resource Industrial Dataset with a Domain-Grounded Reasoning Layer
A seed dataset of 89 Nigerian machinery indicators plus 94 domain-grounded CoT rows, raising domain-grounded prompts from 1/78 to 94/94 and retrieval fidelity to 84/84.
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Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models
Tabular foundation models applied to PHM via signal-to-table conversion achieve the best average ranks across prognostic and diagnostic tasks and remain competitive in low-data regimes.
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Empirical Calibration and Conditional-Reliability Diagnostics for Bearing RUL Prediction under Operating-Regime Shift
On a 10-bearing PHME subset, a residual-calibrated fusion model hits ~0.15 normalized MAE and 0.90 average 90% coverage under leave-regime-out splits, while conditional diagnostics expose 0.666 coverage and raw-channel-loss collapse.
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Uncertainty Aware Functional Behavior Prediction and Material Fatigue Assessment for Circular Factory
CNN-LSTM model predicts nine functional variables with uncertainty estimates for an angle grinder and integrates finite-element fatigue analysis to produce reliability trajectories for reuse decisions.
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Nullspace-based Fault Diagnosis for Closed-Loop Mechatronic Systems with Application to Semiconductor Equipment
Tailored nullspace-based FDI synthesis conditions for closed-loop systems are derived and validated through experiments on a large-scale wafer stage prototype.