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Articles by keyword: «Acoustic Emission (AE) Signal»

• A Study on the Optimum Condition Selection of Rotary Dressing System of Ultra-Precision Centerless Grinding Machine for Ferrule
  Published in: Advances in Abrasive Technology VIII (p189)
• AE Evaluation of Relationship between AE Signals and Fracture Mechanisms for the Weldment of Pressure Vessel Steel
  Published in: Advanced Materials and Processing (p1181)
• AE Signal of early Rotor Cracks Fault Diagnosis Based on PWVD and SVM
  Published in: Optical, Electronic Materials and Applications (p212)
• Application of BP Neural Network to Extract AE Characteristic Parameters of the Crack in the Drawing Parts
  Published in: Advanced Materials Science and Technology (p195)
• Fatigue Crack Propagation Monitoring by Acoustic Emission Signal Analysis
  Published in: Materials Structure & Micromechanics of Fracture VI (p370)
• Fracture Process Characterization by Acoustic Emission Signal Components
  Published in: Materials Structure & Micromechanics of Fracture VI (p290)
• Research on Grinding Wheel Intelligent Dressing System
  Published in: Advances in Abrasive Processes (p181)
• Research on Web Based Remote Monitor and Control System for Grinding Process
  Published in: Advances in Materials Manufacturing Science and Technology II (p1112)
• Study on Evaluation of AE Signals at Weld Region of SA 516 Steel
  Published in: Advanced Nondestructive Evaluation I (p1729)
• Study on On-Line Monitoring Method for Grinding Quality
  Published in: Advances in Grinding and Abrasive Processes (p287)
• Study on the AE Signal Based Grinding Contact Detection Method for Thin-Walled Ceramic Materials
  Published in: Advances in Materials Manufacturing Science and Technology XIII Volume I (p153)
• The Condition Monitoring of the Micro V-Grooving with a Single Crystal Diamond Tool Using the AE Technology
  Published in: Advances in Materials and Processing Technologies II (p1107)
• The Development of Physical Signal Measurement and Control in the Processing of Ultrasonic Machining
  Published in: Advances in Engineering Design and Optimization (p1442)
• The Method of Fault Feature Extraction from Acoustic Emission Signals Using Wigner-Ville Distribution
  Published in: Optical, Electronic Materials and Applications (p732)