Download e-book for kindle: Intelligent systems and signal processing in power by Abhisek Ukil

By Abhisek Ukil

ISBN-10: 3540731695

ISBN-13: 9783540731696

Power engineering has turn into a multidisciplinary box starting from linear algebra, electronics, sign processing to synthetic intelligence together with contemporary traits like bio-inspired computation, lateral computing and so forth. during this e-book, Ukil builds the bridge among those inter-disciplinary energy engineering practices. The ebook appears into significant fields utilized in sleek strength structures: clever platforms and the sign processing.

The clever platforms part includes of fuzzy good judgment, neural community and help vector desktop. the writer appears to be like at proper theories at the themes with out assuming a lot specific historical past. Following the theoretical fundamentals, he experiences their functions in a variety of difficulties in strength engineering, like, load forecasting, part balancing, or disturbance research. those software experiences are of 2 varieties: complete program stories defined like in-depth case-studies, and semi-developed software rules with scope for extra extension. this can be through tips to additional learn information.

In the second one half, the booklet leads into the sign processing from the fundamentals of the process conception, by way of basics of other sign processing transforms with examples. a bit follows concerning the sampling process and the electronic filters that are the last word processing instruments. The theoretical fundamentals are substantiated via a few of the purposes in energy engineering, either in-depth and semi-developed as sooner than. This additionally finally ends up with tips that could additional examine information.

'Intelligent platforms and sign Processing in energy Engineering' is useful for college students, researchers and engineers, attempting to remedy energy engineering difficulties utilizing clever platforms and sign processing, or looking purposes of clever structures and sign processing in energy engineering.

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Additional resources for Intelligent systems and signal processing in power engineering: with 36 tables

Example text

The change of load (kW, positive or negative) to be performed for each phase. 8 shows the fuzzy nomenclature, and Fig. 37 the respective triangular fuzzy membership functions. 9 shows the fuzzy nomenclature, and Fig. 38 the corresponding triangular fuzzy membership functions (Ukil and Siti 2006). 10. Corresponding to the fuzzy input, output variables and the associated rule set, the fuzzy surface is shown in Fig. 39, depicting the nonlinear relationship between the input and the output variable (Ukil and Siti 2006).

4 Classical Set Theory vs. Fuzzy Set Theory Fig. 23 shows an example graphical representation of the classical set (crisp set) for height. The set shown in Fig. 8m above which the heights are considered to be tall, and below which heights are short. 8}. This is a typical example of classical set or crisp set theory. We can mathematically express this kind of situation. However, practically we can notice the shortcomings of such description. 5m? The answers would be tall and short respectively. 799m?

The obvious answer is no. So, we need a sort of realistic representation which can be mathematically expressed as well as provides an acceptable practical solution. Here comes the fuzzy set theory. The same height set is represented using a fuzzy classification in Fig. 24. With the fuzzy representation, we see a non-binary type rollover from the short to the tall classes. We associate the fuzzy membership function μ. Mathematically, we describe, T all = {x, μ(x)|x ∈ X }, X being all values of x.

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Intelligent systems and signal processing in power engineering: with 36 tables by Abhisek Ukil

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