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Degradation modeling and remaining useful life prediction for dependent competing failure processes.

, , , , and . Reliab. Eng. Syst. Saf., (2021)

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Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery., , , and . IEEE Trans. Ind. Electron., 68 (8): 7496-7504 (2021)An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions., , , , and . IEEE Trans. Ind. Informatics, 20 (4): 6177-6186 (April 2024)Remaining useful life prediction based on a multi-sensor data fusion model., , , , , and . Reliab. Eng. Syst. Saf., (2021)An Incorrect Data Detection Method for Big Data Cleaning of Machinery Condition Monitoring., , and . IEEE Trans. Ind. Electron., 67 (3): 2326-2336 (2020)Weak signal detection based on underdamped multistable stochastic resonance., , , and . I2MTC, page 1-6. IEEE, (2017)A review for control theory and condition monitoring on construction robots., , , , , , , , and . J. Field Robotics, 40 (4): 934-954 (June 2023)A KPI-related multiplicative fault diagnosis scheme for industrial processes., , , , , and . ICCA, page 1460-1465. IEEE, (2013)A nonparametric degradation modeling method for remaining useful life prediction with fragment data., , , , , and . Reliab. Eng. Syst. Saf., (2024)Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment., , , , and . IEEE CAA J. Autom. Sinica, 11 (10): 2068-2081 (October 2024)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)