Signal Processing for Industrial Diagnostics

Signal Processing for Industrial Diagnostics T. M. Romberg IET Consulting Pty Ltd., Australia J. L. Black T. J. Ledwidge University of Southern Queensland, Australia Many advances in industrial diagnostics have resulted from the substantial growth in measurement technology. This has been matched by the availability of sophisticated digital signal processing hardware and computer-based analysis software which now contribute to the enhanced reliability of industrial processes. In writing this book the authors have provided industrial diagnostics practitioners, graduates and undergraduates with an overview of the relevant signal processing techniques. Examples of the practical application of these techniques are taken from industrial nuclear physics, thermodynamics, mineral processing and medical diagnostics. Features A radical process applications-based approach to teaching information science and signal processing. Signal Processing for Industrial Diagnostics forms part of the Wiley Series in Measurement Science and Technology. Chief Peter Sydenham Australian Centre for Test and Evaluation, University of South Australia. This series was founded to coincide with the recognition of measurement science and instrument technology as fields with their own scholarship and techniques.