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

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

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Multi-Sensor Data-Driven Remaining Useful Life Prediction of Semi-Observable Systems., , , , , , and . IEEE Trans. Ind. Electron., 68 (11): 11482-11491 (2021)Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data., , , , and . IEEE Trans. Ind. Electron., 66 (9): 7316-7325 (2019)Degradation modeling and remaining useful life prediction for dependent competing failure processes., , , , and . Reliab. Eng. Syst. Saf., (2021)Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions., , , , , and . Reliab. Eng. Syst. Saf., (2020)Machinery Health Prognostics With Multimodel Fusion Degradation Modeling., , , , and . IEEE Trans. Ind. Electron., 70 (11): 11764-11773 (November 2023)A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines., , , , and . IEEE Trans. Ind. Electron., 67 (11): 9747-9757 (2020)Non-Contact Machine Vibration Sensing and Fault Diagnosis Method Based on Event Camera., , , , and . SAFEPROCESS, page 1-5. IEEE, (2023)Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process., , and . ICPHM, page 1-6. IEEE, (2018)A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings., , , and . IEEE Trans. Reliab., 69 (1): 401-412 (2020)Intelligent Machinery Fault Diagnosis With Event-Based Camera., , , , and . IEEE Trans. Ind. Informatics, 20 (1): 380-389 (January 2024)