Diagnosing faults in rolling-element bearings of rotor systems equipped with vibration dampers

Vekteris, Vladas; Trumpa, Andrius; Turla, Vytautas; Mokšin, Vadim; Viselga, Gintas; Jurkonis, Eugenijus

doi:10.1177/1687814020915417

Cited by 3 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is a key step to improving the accuracy of fault diagnosis by analyzing the characteristic information of signals in time-frequency domains and constructing characteristic parameters that fully represent the rotor operating conditions (Dhiman and Kumar, 2017;Dhiman and Kumar, 2018;Dhiman and Kaur, 2019). In recent years, the rapid development of signal processing technologies such as time domain and frequency domain analysis using the Hilbert transform technique, empirical mode decomposition (EMD), intrinsic time-scale decomposition (ITD), time-frequency analysis methods such as ITD and variational mode decomposition have become research hotspots in the field of fault diagnosis (Vekteris et al, 2020;Chen et al, 2021a;Chen et al, 2021b;Espinoza-Sepulveda and Sinha, 2021). Vekteris et al (2020) combined EMD with the improved wavelet threshold decomposition method to fully explore the feature mapping relationship between the vibration signals of an aeroengine rotor and the operation status of mechanical equipment.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, the rapid development of signal processing technologies such as time domain and frequency domain analysis using the Hilbert transform technique, empirical mode decomposition (EMD), intrinsic time-scale decomposition (ITD), time-frequency analysis methods such as ITD and variational mode decomposition have become research hotspots in the field of fault diagnosis (Vekteris et al, 2020;Chen et al, 2021a;Chen et al, 2021b;Espinoza-Sepulveda and Sinha, 2021). Vekteris et al (2020) combined EMD with the improved wavelet threshold decomposition method to fully explore the feature mapping relationship between the vibration signals of an aeroengine rotor and the operation status of mechanical equipment. Hu et al (2021) proposed a fault diagnosis method for planetary gearboxes based on ITD and permutation entropy, and evaluated the fault degree by solving the PE of vibration signals.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research on the Rotor Fault Diagnosis Method Based on QPSO-VMD-PCA-SVM

Wang

Liu²,

Liu

et al. 2022

Front. Energy Res.

View full text Add to dashboard Cite

The rotor system is a core part of rotating machinery equipment. Its safe and reliable operation directly affects the economic benefit of using the equipment and the personal safety of users. To fully explore the complex feature mapping relationship between rotor vibration signals and fault types, rotor vibration signals were studied under different working conditions from the perspective of feature parameter construction and feature information mining. First, a variational mode decomposition algorithm was used to decompose the vibration signals, and quantum behavior particle swarm optimization was used to minimize the mean envelope entropy of intrinsic mode function components to determine the optimal combination of modal number and penalty coefficient. Second, the principal component analysis was used to reduce the dimensionality of IMF components of vibration signals. Finally, a support vector machine was used to mine the feature mapping relationship between vibration data after dimensionality reduction and rotor operation state to accurately identify rotor fault types. The proposed method was used to analyze the measured vibration signals of the rotor system. The experimental results showed that the proposed method effectively extracted characteristic information of the rotor running state from the vibration data, and the accuracies of four types of fault diagnoses were 100%, 88.89%, 100%, and 100%, respectively. In addition, the accuracies of the four fault diagnoses in this study were better than those of the previously reported models.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on the Rotor Fault Diagnosis Method Based on QPSO-VMD-PCA-SVM

Wang

Liu²,

Liu

et al. 2022

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

Simulation modeling of the automobile braking system performance

Viselga

Ugnenko

Uzhviieva

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Simulation model of the automobile braking system performance taking into account not only the wheel, brake pads, brake drum dynamics but the dynamics of the hydraulic brake system: the main hydraulic cylinder, the brake gear hydraulic cylinders has been presented. Effect of changing parameters of the braking system elements on the braking distance of the automobile has been considered. Road users’ safety relies heavily on effectiveness of vehicle braking system. Thus, braking system design is essential when designing a new vehicle. Modeling of the functionality of the designed system is one of the most important phases of design. Time and material expenses for imitational modeling are always less than actually producing models and conducting experiments on them. Experiments should prove theoretical abstracts stated while modeling. Thus, the imitational model should be well designed and adequate. Imitational model allows efficient operation of brake system with different system of control.

show abstract

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

View full text Add to dashboard Cite

Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal functioning states are related to specific patterns that can be extracted from vibration signals. Extensively studied issues concern the different methodologies used for carrying out the main phases (signal measurements, pre-processing and processing, feature selection, and fault diagnosis) of a malfunction automatic diagnosis. In addition, vibration-based condition monitoring has been applied to a number of different mechanical systems or components. In this review, a systematic study of the works related to the topic was carried out. A preliminary phase involved the analysis of the publication distribution, to understand what was the interest in studying the application of the method to the various rotating machineries, to identify the interest in the investigation of the main phases of the diagnostic process, and to identify the techniques mainly used for each single phase of the process. Subsequently, the different techniques of signal processing, feature selection, and diagnosis are analyzed in detail, highlighting their effectiveness as a function of the investigated aspects and of the results obtained in the various studies. The most significant research trends, as well as the main innovations related to the various phases of vibration-based condition monitoring, emerge from the review, and the conclusions provide hints for future ideas.

show abstract

Diagnosing faults in rolling-element bearings of rotor systems equipped with vibration dampers

Cited by 3 publications

References 11 publications

Research on the Rotor Fault Diagnosis Method Based on QPSO-VMD-PCA-SVM

Research on the Rotor Fault Diagnosis Method Based on QPSO-VMD-PCA-SVM

Simulation modeling of the automobile braking system performance

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

Contact Info

Product

Resources

About