Digital signal analysis in the SLA product data system. An overview
J.R. Yoder, B.D. Richard · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1977
Recent trends toward the usage of digital signals for product testing have resulted in the need for establishing a Digital Signal Analysis (DSA) facility within the SLA product data system. In view of the hybrid nature of the data system, both immediate and historical orientation and the many sources and uses of data, the DSA facility is oriented toward ''black box'' analysis programs and the use of interactive data search, manipulation, and analysis techniques. Applications ad extension of DSA to statistical product evaluation comprise the bulk of work at present. Current capabilities include wave form reconstruction, definition of class envelopes, linear regression analysis, parametric determination, and computation of probabilistic failure models. The data system includes only unfiltered signals for historical storage; however, digital filtering and Fourier reconstruction have been used, and future work will require effort in this area. Although further applications will be a function of client-stated need, spectral analysis, pattern recognition, and correlation techniques show promise for profitable application. 7 figures.