Method of classification of global machine conditions based on spectral features of infrared images and classifiers fusion is popular PDF and ePub book, written by Marek Fidali in 2024-09-30, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Method of classification of global machine conditions based on spectral features of infrared images and classifiers fusion can be Read Online from any device for your convenience.
Method of classification of global machine conditions based on spectral features of infrared images and classifiers fusion Book PDF Summary
This paper describes an original method of global machine condition assessment for infrared condition monitoring and diagnostics systems. This method integrates two approaches: the first is processing and analysis of infrared images in the frequency domain by the use of 2D Fourier transform and a set of F-image features, the second uses fusion of classification results obtained independently for F-image features. To find the best condition assessment solution, the two different types of classifiers, k-nearest neighbours and support vector machine, as well as data fusion method based on Dezert–Smarandache theory have been investigated. This method has been verified using infrared images recorded during experiments performed on the laboratory model of rotating machinery. The results obtained during the research confirm that the method could be successfully used for the identification of operational conditions that are difficult to be recognised.
Detail Book of Method of classification of global machine conditions based on spectral features of infrared images and classifiers fusion PDF
- Author : Marek Fidali
- Release : 30 September 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 18 pages
- Language : English
- PDF File Size : 21,6 Mb
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