Intelligent Identification of Wear Mechanism via On-line Ferrograph Images

Condition based maintenance（CBM） issues a new challenge of real-time monitoring for machine health maintenance. Wear state monitoring becomes the bottle-neck of CBM due to the lack of on-line information acquiring means. The wear mechanism judgment with characteristic wear debris has been widely ado...

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Veröffentlicht in:	Chinese journal of mechanical engineering 2014-03, Vol.27 (2), p.411-417
Hauptverfasser:	Wu, Tonghai, Peng, Yeping, Sheng, Chenxing, Wu, Jiaoyi
Format:	Artikel
Sprache:	eng
Schlagworte:	Cutting wear Debris Deposition Dimensionless analysis Electrical Machines and Networks Electronics and Microelectronics Engineering Engineering Thermodynamics Feasibility studies Feature extraction Ferrography Fractal geometry Frictional wear Heat and Mass Transfer Instrumentation Machinery industry Machines Manufacturing Mechanical Engineering Morphology Neural networks On-line systems Power Electronics Processes Shape factor Sliding friction Theoretical and Applied Mechanics Wear Wear mechanisms Wear particles 前馈神经网络在线铁谱智能识别特征提取碎屑沉积磨损机理磨损状态监测铁谱图像
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