Data fusion for process monitoring and NDE

Richard H. Bossi; James Nelson

doi:10.1117/12.259214

15 November 1996 Data fusion for process monitoring and NDE

Richard H. Bossi, James Nelson

Proceedings Volume 2948, Nondestructive Evaluation for Process Control in Manufacturing; (1996) https://doi.org/10.1117/12.259214
Event: Nondestructive Evaluation Techniques for Aging Infrastructure and Manufacturing, 1996, Scottsdale, AZ, United States

Abstract

The quality of a final product is assured by a combination of process control measurements during manufacturing and acceptable final inspections. These activities are often performed independently and the information from various measurement method and production steps is rarely shared. For advanced structures, that require a high level of assurance, a data fusion approach using both process data and NDE measurements is proposed to improve interpretation by utilizing all available information in a systematic manner. NDE and process data fusion can occur in may forms, some relatively simple and some very complex. As the complexity and performance requirements of a product increase the need for data fusion can justify the additional cost of implementation. Typically, a data fusion workstation is used. The data fusion workstation accepts information in a variety of forms, providing a platform to interpret the data in combination or simplified presentation modes. The interpretation of data is improved by knowledge obtained from both in-process monitoring and multiple inspection measurements, leading to reduced risk of failure.

Citation Download Citation

Richard H. Bossi and James Nelson "Data fusion for process monitoring and NDE", Proc. SPIE 2948, Nondestructive Evaluation for Process Control in Manufacturing, (15 November 1996); https://doi.org/10.1117/12.259214

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