Detection of a slant crack in a rotor bearing system during shut-down

Sathujoda, Prabhakar

doi:10.1080/15397734.2019.1707686

Cited by 16 publications

(12 citation statements)

References 11 publications

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“…In order to further verify the application performance of the research method in this paper, the fault recognition accuracy of different research methods is discussed. We used "Result one" to represent the recognition result of the research method of literature [4], "Result two" to represent the recognition result of the research method of literature [5], and "Result three" to represent the recognition result of the research method of literature [6].…”

Section: Resultsmentioning

confidence: 99%

“…Figure 7 shows the dimensionality reduction effect diagram. "Result one" to represent the recognition result of the research method of literature [4], "Result two" to represent the recognition result of the research method of literature [5], and "Result three" to represent the recognition result of the research method of literature [6]. The three methods were compared with this article method in this paper to identify the crack friction coupling fault of high water pressure bearing.…”

Section: Resultsmentioning

confidence: 99%

“…Meanwhile, integrated with the experiment, relevant dynamic characteristics of the coupling fault rotor system under support of a sliding bearing were analyzed in conditions of different rotational speeds. It was shown that the rubbing faults play a dominant role in coupling faults, while misalignment faults were in a subordinate position mainly stimulating the high frequency spectrum [5]. Meanwhile, with the increase of rotational speed, a high frequency multiplier dominated the frequency component of the system and gradually entered the chaotic motion state from the quasiperiodic motion [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition

Huang

Hua

Xie³

et al. 2020

Symmetry

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The precision of current research on fault recognition of marine bearing remains to be improved. Therefore, a recognition method of crack-rubbing coupling fault of bearing under high water pressure based on polar symmetry mode decomposition is proposed in this article. The structure of marine bearing was analyzed, and the system was divided into several subsystems. Then, the nonlinearity relationship among the subsystems was confirmed. One subsystem was used to represent other subsystems, which was imported into the kinetic equation to obtain the equation after dimensionality reduction. According to the results of dimensionality reduction, the features of signal were measured from time domain, energy, and entropy. Meanwhile, the interior features of signal were extracted. Based on the feature extraction, the classifier of probabilistic neural network was introduced. The signal was recognized, and the recognition results were output via the training of signal sample data. Experimental results show that the method has better dimensionality reduction effect and high recognition precision. The method is practical.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition

Huang

Hua

Xie³

et al. 2020

Symmetry

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show abstract

“…Because subharmonic and DC effects contain low-frequency band components, sometimes a unified model can be used to describe this phenomenon. Relevant research [ 87 ] shows that the amplitude of the subharmonic is proportional to the square root of the DC effect amplitude.…”

Section: Application Of Nonlinear Ultrasonic Testing Technologymentioning

confidence: 99%

Research Progress in Nonlinear Ultrasonic Testing for Early Damage in Metal Materials

2023

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There are some limitations when conventional ultrasonic testing methods are used for testing early damage in metal parts. With the continuous development of acoustics and materials science, nonlinear ultrasonic nondestructive testing technology has been used for testing of early damage in metal materials. In order to better understand the basic theory and research progress of the nonlinear ultrasonic testing technology, the classical nonlinear ultrasonic theoretical models, including the dislocation monopole model, dislocation dipole model, precipitate-dislocation pinning model, and contact nonlinear ultrasonic theory-microcrack model, are analyzed in depth. This paper introduces the application and research progress of nonlinear ultrasonic detection technology, which is derived from different acoustic nonlinear effects, such as higher harmonic, wave mixing and modulation, sub-harmonic, resonance frequency spectrum analysis, and non-linear ultrasonic phased array imaging. The key technologies and problems are summarized to provide a reference for the further development and promotion of nonlinear ultrasonic non-destructive testing technology.

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“…In [23], Prabhakar studied the transient vibration signals of a slant-cracked rotary machine. The FE method was employed to simulate the defective system; a torque that was varying harmonically and an unbalance force were added to the system.…”

Section: State Of the Artmentioning

confidence: 99%

Unbalanced, cracked, and misaligned rotating machines: a comparison between classification procedures throughout the steady-state operation

Rezazadeh

Luca

Perfetto

2022

J Braz. Soc. Mech. Sci. Eng.

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This article compares two intelligent methods for automatic detection of unbalancing, cracks, and parallel misalignment in rotary machines. The finite element method is used to model the faults in a rotating system. The modeled system then operates virtually under different conditions in the steady-state operation; the vibrational responses are calculated numerically. To compare the accuracy of different manners in the classification of defective systems, firstly, four distinct types of features, i.e., statistical, frequency, time–frequency, and uncertainty are exploited. The T test process is utilized to test the extracted characteristics; the unreliable features are removed from feature vectors, then the remained ones are used in four supervised machine learning classifiers, i.e., support vector machine, k-nearest neighbors, Naive Bayes, and decision trees. In the following, as the convolution neural networks (CNNs) approach, the persistence spectrums of raw signals are plotted, and these graphs are introduced as input data. Comparing results of the different classification methods, it has been observed that although CNNs based on persistence spectrum graphs are computationally heavy and time-consuming, they provide more accurate results than the other classifiers. The results show that the proposed approach for rotor fault detection is effective, accurate, and robust and that it has promise for real engineering applications.

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Detection of a slant crack in a rotor bearing system during shut-down

Cited by 16 publications

References 11 publications

Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition

Recognition of Crack-Rubbing Coupling Fault of Bearing under High Water Pressure Based on Polar Symmetry Mode Decomposition

Research Progress in Nonlinear Ultrasonic Testing for Early Damage in Metal Materials

Unbalanced, cracked, and misaligned rotating machines: a comparison between classification procedures throughout the steady-state operation

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