Increasing emphasis on safety, productivity and quality control has provided an impetus to research on better methodologies for fault diagnosis, modeling, identification, control and optimization ofchemical process systems. One of the biggest challenges facing the research community is the processing of raw sensordata into meaningful information. Wavelet analysis is an emerging field of mathematics that has provided new tools and algorithms suited for the type of problems encountered in process monitoring and control. The concept emerged in the geophysical field as a result ofthe need for time-frequency analytical techniques. It has since been picked up by mathematicians and recognized as a unifying theory for many ofthe methodologies employed in the past in physics and signal processing. l Meyer states: qWavelets are without doubt an exciting and intuitive concept. The concept brings with it a new way of thinking, which is absolutely essential and was entirely missing in previously existing algorithms. q The unification ofthe theory from these disciplines has led to applications of wavelet transforms in many areas ofscience and engineering including: ac pattern recognition ac signal analysis ac time-frequency decomposition ac process signal characterization and representation ac process system modeling and identification ac control system design, analysis and implementation ac numerical solution ofdifferential equations ac matrix manipulation About a year ago, in talking to various colleagues and co-workers, it became clear that a number of chemical engineers were fascinated with this new concept.Transforms S. Palavajjhala, R.L. Motard, and B. Joseph Washington University Department of Chemical Engineering One Brookings Drive, Campus ... Algorithms for the construction of various types of wavelets are implemented on MATLAB.
|Title||:||Wavelet Applications in Chemical Engineering|
|Author||:||Rodolphe L. Motard, Babu Joseph|
|Publisher||:||Springer Science & Business Media - 2013-11-27|