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 include:Concise treatment of information science and its subset signal processing as a coherent disciplineCompanion disk of demonstration software and practical data analysis exercises suitable for graduate or undergraduate coursesSeven industrial case studies as reference applications for practising industrial diagnostics engineersA 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 Editor: 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.