A method for detecting physical and chemical properties of transformer oil
A technology of transformer oil and physical and chemical properties, applied in the direction of chemical property prediction, neural learning methods, instruments, etc., can solve the problems of cumbersome detection process, long test cycle, and many links, achieve high detection accuracy, shorten the detection cycle, and simplify detection The effect of steps
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[0095] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.
[0096] First, some related terms and principles are explained, as follows:
[0097] IALO: Improved antlion optimization algorithm;
[0098] MFU: Multi-Frequence Ultrasound, multi-frequency ultrasonic, refers to a technology that uses ultrasonic waves containing multiple center frequency points to detect transformer oil.
[0099] WNN, namely wavelet neural network, is a feed-forward neural network that combines wave transform and BP neural network. IALO-WNN is a wavelet neural network optimized by usin...
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