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Knowledge-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 ...
Ferrograph Analysis With Improved Particle Segmentation and Classification Methods
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Ferrograph analysis has been adopted over decades for determining the root causes of on-going wear faults. After decades of manual operation, this traditional technique is being driven by intelligent algorithms for automatic ...