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RISKnowledge-Guided Convolutional Neural Network Model for Similar Three-Dimensional Wear Debris Identification With Small Number of Samples
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Wear debris analysis (WDA) enables the provision of essential information towards the monitoring of machine fault diagnosis and the analysis of wear mechanism. However, this experience-based technology has not yet been ...
State of Charge and State of Health Estimation of Lithium-Ion Battery Packs With Inconsistent Internal Parameters Using Dual Extended Kalman Filter
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The internal battery parameters of the lithium-ion battery energy storage system may be inconsistent due to different aging degrees during the operation, and the thermal effect can also threaten the safety of the system. ...