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:
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The first part of the book establishes the basic theoretical concepts of signal processing and industrial diagnostics, defining the classes of processes commonly encountered in practice. Since industrial processes are predominantly multivariate in their dynamic behaviour, the book focuses on the multivariate analysis of process signals. Accompanied by software, the second part gives some practical data analysis exercises, utilising the theoretical concepts introduced in the preceding chapters. These are supplemented by recent case studies from both energy intensive and energy extensive processes.
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