Intrusion signal diagnosis system and intrusion signal diagnosis method

Abstract

The invention discloses an intrusion signal diagnostic system and an intrusion signal diagnostic method. The intrusion signal diagnosis system and the intrusion signal diagnosis method are characterized in that an original signal is collected, and an EEMD is used for decomposing the original signal into an IMF component, then performing de-noising reconstruction, and extracting a spectral centroidof the reconstructed signal through a spectral centroid method, and the spectral centroid is used as a characteristic quantity to be imported into the LS-SVM to carry out regression prediction, and therefore the intrusion signal is diagnosed.

Description

technical field [0001] The present invention relates to an intrusion signal diagnosis system and method, in particular to an intrusion signal diagnosis system and method based on EEMD combined with spectrum centroid and LS-SVM. Background technique [0002] Petroleum is an important strategic material and plays a pivotal role in the national economy. With the rapid take-off of China's economy and the vigorous development of the oil industry, the mileage of China's oil and gas backbone pipelines has exceeded 70,000 kilometers. As one of the five transportation methods, pipeline transportation has the advantages of safety, economy, quality assurance, and no pollution. It has become an important way for oil and gas transportation, and it undertakes the transportation tasks of 70% of crude oil and 99% of natural gas in my country. By 2020, the mileage of my country's oil and gas pipeline network will reach 200,000 kilometers, and the national backbone pipeline network will be b...

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Problems solved by technology

For example: Yang Yahui et al. used the incremental GHSOM neural network model to deal with network signal intrusion, and achieved good results, but there is a problem of insufficient anti-noise ability, and the neural network needs a large amount of prior data as the basis, which is difficult to obtain in actual engineering; Pi Shaohua and others used the cepstrum to diagnose the intrusion signal of the distributed optical fiber Sagnac interferometer, which has high accuracy, but the ability to diagnose the intrusion signal with low frequency spectrum and low signal-to-noise ratio is poor; Ren Zhongjie et al. used binary rectangular phase pulse modulation The method combined with the LC alarm algorithm to diagnose the intrusion signal has achieved good results, but the method needs a large amount of prior data in practical application, and there is a problem of strong experience, so it is subje...

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