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Health Condition Monitoring of Machines Based on Hidden Markov Model and Contribution Analysis.. IEEE Trans. Instrumentation and Measurement, 61 (8): 2200-2211 (2012)Sparse Coding Shrinkage in Intrinsic Time-Scale Decomposition for Weak Fault Feature Extraction of Bearings., and . IEEE Trans. Instrumentation and Measurement, 67 (7): 1579-1592 (2018)Sparse Representation Convolutional Autoencoder for Feature Learning of Vibration Signals and its Applications in Machinery Fault Diagnosis., , and . IEEE Trans. Ind. Electron., 69 (12): 13565-13575 (2022)The interval min-max regret knapsack packing-delivery problem., , , and . Int. J. Prod. Res., 59 (18): 5661-5677 (2021)An integrated method for variation pattern recognition of BIW OCMM online measurement data., , , , , and . Int. J. Prod. Res., 60 (6): 1932-1953 (2022)Data-feature-driven nonlinear process monitoring based on joint deep learning models with dual-scale., and . Inf. Sci., (2022)An Adaptive Weighted Adjacent Difference Sparse Representation for Bearing Fault Diagnosis., and . IEEE Trans. Instrum. Meas., (2021)One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis., and . IEEE Trans. Ind. Informatics, 16 (10): 6347-6358 (2020)Unrelated parallel machine scheduling problem with special controllable processing times and setups., , , and . Comput. Oper. Res., (2022)Fault Detection of Rolling Bearing Using Sparse Representation-Based Adjacent Signal Difference., and . IEEE Trans. Instrum. Meas., (2021)