tailieunhanh - Sensor Fusion and its Applications Part 16

Tham khảo tài liệu 'sensor fusion and its applications part 16', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 444 Sensor Fusion and Its Applications techniques are promising candidates for stress measurement the fact that the stress measurement is performed indirectly means the relationship between the measured signal and stress is complex and heavily dependent on material microstructure thus materialspecific calibration is almost always required. Because of the complex nature of the mechanisms which contribute to cracking degradation and material stresses the use of more than one NDE methods is often required for comprehensive assessment of a given component. The development of fusion techniques to integrate signals from different sources has the potential to lead to a decrease in inspection time and also a reduction in cost. Gathering of data from multiple systems coupled with efficient processing of information can provide great advantages in terms of decision making reduced signal uncertainty and increased overall performance. Depending on the different physical properties measured fusion techniques have the benefit that each NDE modality reveals different aspects of the material under inspection. Therefore professional processing and integration of defect information is essential in order to obtain a comprehensive diagnosis of structural health. With research and development in NDE through a wide range of applications for engineering and medical sciences conventional NDT E techniques have illustrated different limitations . ultrasonic NDT E needs media coupling eddy current NDT E can only be used to inspect surface or near surface defects in metallic or conductive objects etc. As industrial applications require inspection and monitoring for large complex safety critical components and subsystems traditional off-line NDT and quantitative NDE for defect detection cannot meet these needs. On-line monitoring . structural health monitoring SHM for defects as well as precursors . material abnormal status for life cycle assessment and intelligent health monitoring .

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