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Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model.

, , , , и . Reliab. Eng. Syst. Saf., (2019)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

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A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings., , , и . IEEE Trans. Reliab., 69 (1): 401-412 (2020)Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model., , , , и . Reliab. Eng. Syst. Saf., (2019)Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery., , , , и . Reliab. Eng. Syst. Saf., (2023)Balance recovery and collaborative adaptation approach for federated fault diagnosis of inconsistent machine groups., , , , , и . Knowl. Based Syst., (2025)Self-Data-Driven Intelligent Fault Diagnosis of Gearboxes With Sparse Group Lasso., , , , , и . IEEE Trans. Instrum. Meas., (2025)A multimodal dynamic parameterized bilinear factorized framework for remaining useful life prediction under variational data., , , , , , и . Reliab. Eng. Syst. Saf., (2024)Non-Contact Machine Vibration Sensing and Fault Diagnosis Method Based on Event Camera., , , , и . SAFEPROCESS, стр. 1-5. IEEE, (2023)Degradation modeling and remaining useful life prediction for dependent competing failure processes., , , , и . Reliab. Eng. Syst. Saf., (2021)Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions., , , , , и . Reliab. Eng. Syst. Saf., (2020)Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process., , и . ICPHM, стр. 1-6. IEEE, (2018)