Diagnostics of Transient States in Hydraulic Pump System with Short Time Fourier Transform

Przystupa, Krzysztof; Ambrożkiewicz, Bartłomiej; Litak, Grzegorz

doi:10.12913/22998624/116971

Cited by 21 publications

(14 citation statements)

References 14 publications

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“…Nowadays, the MFO algorithm is deeply studied to solve multi-objective problems, unconstrained optimization problems, global optimization problems, and so on [13][14][15][16][17][18]. The MFO algorithm has been proved to be effective in networks [19,20], manufacturing [21], power systems [22][23][24], control [25], energy [26][27][28], reliability analysis [29][30][31], autonomous robot navigation [32], testing [33], photovoltaic modules [34], biomedical science [35][36][37], and so on. The MFO algorithm can then be utilized to optimize and improve the accuracy of the classification algorithm for the purpose of network intrusion detection.…”

Section: Related Workmentioning

confidence: 99%

A Combination Strategy of Feature Selection Based on an Integrated Optimization Algorithm and Weighted K-Nearest Neighbor to Improve the Performance of Network Intrusion Detection

Przystupa

Fang

et al. 2020

Electronics

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With the widespread use of the Internet, network security issues have attracted more and more attention, and network intrusion detection has become one of the main security technologies. As for network intrusion detection, the original data source always has a high dimension and a large amount of data, which greatly influence the efficiency and the accuracy. Thus, both feature selection and the classifier then play a significant role in raising the performance of network intrusion detection. This paper takes the results of classification optimization of weighted K-nearest neighbor (KNN) with those of the feature selection algorithm into consideration, and proposes a combination strategy of feature selection based on an integrated optimization algorithm and weighted KNN, in order to improve the performance of network intrusion detection. Experimental results show that the weighted KNN can increase the efficiency at the expense of a small amount of the accuracy. Thus, the proposed combination strategy of feature selection based on an integrated optimization algorithm and weighted KNN can then improve both the efficiency and the accuracy of network intrusion detection.

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Section: Related Workmentioning

confidence: 99%

A Combination Strategy of Feature Selection Based on an Integrated Optimization Algorithm and Weighted K-Nearest Neighbor to Improve the Performance of Network Intrusion Detection

Przystupa

Fang

et al. 2020

Electronics

Self Cite

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“…These researchers in their proposal only work with SNR ≥ 0 dB. For their part, the authors in [8] created an algorithm using the short-time Fourier transform for the diagnosis of transient states in a hydraulic pump system. In the results presented by these researchers, it is observed that when noise begins to increase, there is deterioration in the extraction of characteristics of the studied signal.…”

Section: Introductionmentioning

confidence: 99%

A High-Resolution Dyadic Transform for Non-Stationary Signal Analysis

2021

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This article shows a new Te-transform and its periodogram for applications that mainly exhibit stochastic behavior with a signal-to-noise ratio lower than −30 dB. The Te-transform is a dyadic transform that combines the properties of the dyadic Wavelet transform and the Fourier transform. This paper also provides another contribution, a corollary on the energy relationship between the untransformed signal and the transformed one using the Te-transform. This transform is compared with other methods used for the analysis in the frequency domain, reported in literature. To perform the validation, the authors created two synthetic scenarios: a noise-free signal scenario and another signal scenario with a signal-to-noise ratio equal to −69 dB. The results show that the Te-transform improves the sensitivity in the frequency spectrum with respect to previously reported methods.

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“…The contamination of gear oils with wear products may result in power losses, among other consequences, as well as decreases in the flow resistance of the lubricant [19]. Therefore, the quality and condition of the lubricant affects the friction resistance in gear boxes and may affect the efficiency of tribomechanical systems [20,21]. The applications that oil is used for may lead to changes in its viscosity [19].…”

Section: Introductionmentioning

confidence: 99%

Influence of Contamination of Gear Oils in Relation to Time of Operation on Their Lubricity

et al. 2021

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The quality and reliability of consumables, including gear oils, results in the failure-free operation of the transmission components in heavy trucks. It is known that oil viscosity is essential for all lubricated tribopairs for wear and friction reduction in all vehicles with a gearbox. Viscosity may be influenced by the contamination that wear products can impart on the oil. Oil contamination can also affect lubrication efficiency in the boundary friction conditions in gearboxes where slips occur (including bevel and hypoid gearboxes). The present research focused on this issue. An obvious hypothesis was adopted, where it was theorized that exploiting the contaminants that are present in gear oil may affect how the lubricating properties of gear oils deteriorate. Laboratory tests were performed on contaminants that are commonly found in gear oil using the Parker Laser CM20. The study was designed to identify a number of different solid particles that are present in oil. At the second stage, friction tests were conducted for a friction couple “ball-on-disc” in an oil bath at 90 °C on a CSM microtribometer. The quantitative contamination of the gear oils that contained solid particles and the curves representing the friction coefficients of fresh oils with a history of exploitation were compared. The test results were statistically analysed. Exploitation was shown to have a significant impact on the contamination of gear oils. It was revealed that the contamination and the mileage had no effect on the tested oils.

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Diagnostics of Transient States in Hydraulic Pump System with Short Time Fourier Transform

Cited by 21 publications

References 14 publications

A Combination Strategy of Feature Selection Based on an Integrated Optimization Algorithm and Weighted K-Nearest Neighbor to Improve the Performance of Network Intrusion Detection

A Combination Strategy of Feature Selection Based on an Integrated Optimization Algorithm and Weighted K-Nearest Neighbor to Improve the Performance of Network Intrusion Detection

A High-Resolution Dyadic Transform for Non-Stationary Signal Analysis

Influence of Contamination of Gear Oils in Relation to Time of Operation on Their Lubricity

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