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Reliability analysis of chatter stability for milling process system with uncertainties based on neural network and fourth moment method.

, , , , and . Int. J. Prod. Res., 58 (9): 2732-2750 (2020)

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Improved milling stability analysis for chatter-free machining parameters planning using a multi-fidelity surrogate model and transfer learning with limited experimental data., , , , , and . Int. J. Prod. Res., 62 (4): 1126-1143 (February 2024)Fault diagnosis of electrohydraulic actuator based on multiple source signals: An experimental investigation., , , , , and . Neurocomputing, (2020)Cyclic Auto-encoder: A Novel Semi-supervised Method for Rotating Component Fault Diagnosis with Low Label Rate., , and . SAFEPROCESS, page 1-6. IEEE, (2023)Multi-Objective Machining Parameters Optimization for Chatter-Free Milling Process Considering Material Removal Rate and Surface Location Error., , , , and . IEEE Access, (2019)Semi-supervised ensemble fault diagnosis method based on adversarial decoupled auto-encoder with extremely limited labels., , and . Reliab. Eng. Syst. Saf., (February 2024)Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates., , , and . Eng. Appl. Artif. Intell., (2024)Reliability analysis of chatter stability for milling process system with uncertainties based on neural network and fourth moment method., , , , and . Int. J. Prod. Res., 58 (9): 2732-2750 (2020)Efficient stability prediction of milling process with arbitrary tool-holder combinations based on transfer learning., , , , , and . J. Intell. Manuf., 34 (5): 2263-2279 (June 2023)Improved Generative Adversarial Network for Rotating Component Fault Diagnosis in Scenarios With Extremely Limited Data., , , and . IEEE Trans. Instrum. Meas., (2022)An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions., , and . IEEE Trans. Reliab., 70 (4): 1611-1620 (2021)