Localization of the Best Measuring Point for Gearwheel Behaviour Testing Using Group of Adaptive Models Evolution

Dočekal, A.; Dynybyl, Vojtěch; Kreidl, M.; Šmı́d, Radislav; Зак, Павел

doi:10.2478/v10048-008-0011-1

Cited by 4 publications

(5 citation statements)

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“…(0) γ is sorted in ascending order, and the new ascending sequence is named as (0) ξ . (1) ξ can be attained by (9).…”

Section: Characteristics Of the Outliers From Tooth Profilesmentioning

confidence: 99%

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Outlier Detection and Correction for the Deviations of Tooth Profiles of Gears

Han¹,

Fu²,

Wang³

et al. 2013

Measurement Science Review

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To decrease the influence of outlier on the measurement of tooth profiles, this paper proposes a method of outlier detection and correction based on the grey system theory. After studying the characteristics of outliers from the deviations of tooth profiles, this paper proposes a preprocessing method for the modeling data which include abnormal value, and establishes an outlier detection and correction model for the deviations of tooth profiles. Simulation results show that the precision of ONDGM(1,1)(one order and one variable non-homogenous discrete grey model whose outlier is processed by the preprocessing method proposed in this paper) is higher than that of NDGM(1,1)(one order and one variable non-homogenous discrete grey model), and the ONDGM(1,1) is more suitable than the NDGM(1,1) for dealing with the outliers from the deviations of tooth profiles. The experiment results show that the outlier detection and correction model detects and corrects the outliers from the deviations of tooth profiles, and the correction value of the outlier is basically in accordance with the actual deviation. Therefore, the method of outlier detection and correction decreases the influence of outlier and improves the precision in the measurement of tooth profiles.

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“…(0) γ is sorted in ascending order, and the new ascending sequence is named as (0) ξ . (1) ξ can be attained by (9).…”

Section: Characteristics Of the Outliers From Tooth Profilesmentioning

confidence: 99%

“…EARS ARE widely used in mechanical manufacturing, and the quality of tooth profiles affects gear vibration and noise [1][2]. The measurement of tooth profiles is a difficult measurement item, and now tooth profiles are usually measured by gear measuring center [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Outlier Detection and Correction for the Deviations of Tooth Profiles of Gears

Han¹,

Fu²,

Wang³

et al. 2013

Measurement Science Review

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“…Localization in both linear and non linear dynamical systems has been studied by many researchers. Samples can be found in [3][4][5][6][7][8]. In a previous study of localization in systems of multiple vibration absorbers, Alsuwaiyan and Shaw [9] investigated the existence of localization in free vibration modes for both translational and torsional vibration absorber systems.…”

Section: Introductionmentioning

confidence: 99%

Localization in Multiple Nearly-Identical Tuned Vibration Absorbers

Alsuwaiyan¹

2013

IJET

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The forced vibration of multiple nearly identical translational vibration absorbers is considered. Localization, where the amplitudes of vibration of a group of the absorbers can become relatively large as compared to those of the corresponding perfectly tuned system is investigated. In this work, imperfections amoung the absorbers are allowed and brought into the analysis through the stiffnesses of the absorbers' springs. Steady-state analysis of the mathematical model is used to obtain the results. Results, which focus on translational absorber systems, are found to be consistent with previous results obtained for torsional vibration absorbers. It is found that strengths of the localized responses depend on the levels of imperfections, the relative imperfections among absorbers, and the absorbers' damping. Localization is shown to exist in the undamped multiple nearly-identical vibration absorbers system, or more generally, in the system where the ratio of the level of absorbers' damping to the level of imperfections in the absorbers is small. It is also shown that localized responses can be effectively avoided by introducing some intentional mistuning in the absorbers' stiffnesses. This mistuning should be small in absolute magnitude in order not to reduce the absorbers' performance and should be large when compared to the absorbers' imperfections.

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“…Besides an estimation of the lifetime, the main aim of the experiment was to discover the influence of the load value forcing on the gear transmission on the vibration exposure of the gears. Paper [2] describes the signal processing method applied in order to analyze the vibrations acquired during this test. This paper evaluates the efficiency that can be achieved by several suitable methods.…”

Section: Introductionmentioning

confidence: 99%

“…Niemann's closed loop circuit[2] 1 -Tensing screw, 2 -Auxiliary gearbox, 3 -Auxiliary gear transmission, 4 -Gear coupling, 5 -Fixes part of the gear coupling, 6 -Torsion shaft, 7 -Coupling with evolvent grooving, 8 -Tested gearwheel, 9 -Testing gearbox, 10 -Testing pinion, 11 -ETP-Techno coupling, 12 -Radex-N coupling with cutable screw, 13 -Moment sensor, 14 -Axial fixed pinion, 15 -Radex-N coupling with cutable screw, 16 -Moment sensor, 17 -Radex-N coupling, 18 -Drive engine Visualization of the testing circuit[2] …”

mentioning

confidence: 99%

Evaluation of Methods used for Separation of Vibrations Produced by Gear Transmissions

Dočekal¹,

Kreidl²,

Šmı́d³

2008

Acta Polytech

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This paper evaluates methods used for separating vibrations produced by a gear transmission from the vibration signal acquired on the gearbox. The paper presents a novel method for evaluating the algorithms used for this separation. The evaluation method takes into account the statistical reliability of the results achieved on multiple sets of signals acquired on the same machine and conditions. The signal separation was applied in order to process data obtained during an experiment carried out with the aim of analyzing the influence of a torque load affecting a gearbox on the vibrations produced by the gear transmission. It is supposed that the vibration characteristics of the gear transmission are strongly affected by the value of the torque load influencing the gearbox shafts. This influence is analyzed using the vibration signal acquired on the gearbox housing. The vibration signal contains significant disturbances, and its interpretation is unclear. The vibration signal generated by the gear transmission can be separated using methods that make it possible to select the valid features included in the signal. Methods for feature selection which implement a systematic search in the state space and methods based on the genetic algorithm were applied. The genetic algorithm poses a robust stochastic global search in the state space that is well suited to deal with nonlinear problems and also shortens the necessary computing time. The evaluation and comparison of the results achieved during the separation process using different methods have to be taken into account. In the case of signal separation, it is important to evaluate differences between the results achieved during particular executions of the separation process performed by the same method on different datasets which were acquired in the case of the same experiment and conditions. Methods with results that vary, or that are different from the results given by other methods, are assumed not to be statistically reliable. It is also necessary to penalize methods leading to results that can vary greatly in some executions according to the scatter data. Conversely, methods that give results varying around the right set of features seem more acceptable. A novel method for rating the statistical reliability of the results has been proposed. This method is essential for methods using a stochastic search in the state space.

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Localization of the Best Measuring Point for Gearwheel Behaviour Testing Using Group of Adaptive Models Evolution

Cited by 4 publications

References 0 publications

Outlier Detection and Correction for the Deviations of Tooth Profiles of Gears

Outlier Detection and Correction for the Deviations of Tooth Profiles of Gears

Localization in Multiple Nearly-Identical Tuned Vibration Absorbers

Evaluation of Methods used for Separation of Vibrations Produced by Gear Transmissions

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