Numerical modeling and experimental analysis on coupled torsional-longitudinal vibrations of a ship's propeller shaft

Huang, Qianwen; Yan, Xinping; Wang, Yikun; Zhang, Cong; Wang, Zhihua

doi:10.1016/j.oceaneng.2017.03.017

Cited by 45 publications

(18 citation statements)

References 12 publications

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“…In this case, fault isolation is very essential to correlate misalignment with a change in temperature. e effect of torsional longitudinal vibration on aligned condition [14] has been studied through the simple lumped mass model and results are verified experimentally. A required coupling stiffness coefficient for reducing torsional vibration has been discussed.…”

Section: Introductionmentioning

confidence: 99%

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Vibration Analysis of Shaft Misalignment Using Machine Learning Approach under Variable Load Conditions

Umbrajkaar

Krishnamoorthy

Dhumale

2020

Shock and Vibration

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The Industry 4.0 revolution is insisting strongly for use of machine learning-based processes and condition monitoring. In this paper, emphasis is given on machine learning-based approach for condition monitoring of shaft misalignment. This work highlights combined approach of artificial neural network and support vector machine for identification and measure of shaft misalignment. The measure of misalignment requires more features to be extracted under variable load conditions. Hence, primary objective is to measure misalignment with a minimum number of extracted features. This is achieved through normalization of vibration signal. An experimental setup is prepared to collect the required vibration signals. The normalized time domain nonstationary signals are given to discrete wavelet transform for features extraction. The extracted features such as detailed coefficient is considered for feature selection viz. Skewness, Kurtosis, Max, Min, Root mean square, and Entropy. The ReliefF algorithm is used to decide best feature on rank basis. The ratio of maximum energy to Shannon entropy is used in wavelet selection. The best feature is used to train machine learning algorithm. The rank-based feature selection has improved classification accuracy of support vector machine. The result obtained with the combined approach are discussed for different misalignment conditions.

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Section: Introductionmentioning

confidence: 99%

“…In many cases of mechanical fault analysis, measurement of fault is essential to understand severity of fault generated. e major of faulty severity is not focused cases such as unbalance, misalignment, and crack analysis [9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Vibration Analysis of Shaft Misalignment Using Machine Learning Approach under Variable Load Conditions

Umbrajkaar

Krishnamoorthy

Dhumale

2020

Shock and Vibration

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“…Thus, maintaining the integrity of the rotor-bearing system is an important safety concern. Consequently, the topic of coupled vibration has attracted much attention lately in the shipbuilding industry (Chahr-Eddine and Yassine 2014; Huang et al 2017;Murawski 2004;Qu et al 2017;Yang et al 2014;Zhang et al 2014). The significant imbalance may cause several issues related to structurasl mechanics, and coupled torsional-transverse vibration must be studied in depth.…”

Section: Introductionmentioning

confidence: 99%

Effect of Coupled Torsional and Transverse Vibrations of the Marine Propulsion Shaft System

Halilbeşe

Zhang

Özsoysal

2021

J. Marine. Sci. Appl.

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In this study, the coupled torsional–transverse vibration of a propeller shaft system owing to the misalignment caused by the shaft rotation was investigated. The proposed numerical model is based on the modified version of the Jeffcott rotor model. The equation of motion describing the harmonic vibrations of the system was obtained using the Euler–Lagrange equations for the associated energy functional. Experiments considering different rotation speeds and axial loads acting on the propulsion shaft system were performed to verify the numerical model. The effects of system parameters such as shaft length and diameter, stiffness and damping coefficients, and cross-section eccentricity were also studied. The cross-section eccentricity increased the displacement response, yet coupled vibrations were not initially observed. With the increase in the eccentricity, the interaction between two vibration modes became apparent, and the agreement between numerical predictions and experimental measurements improved. Given the results, the modified version of the Jeffcott rotor model can represent the coupled torsional–transverse vibration of propulsion shaft systems.

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“…Two sources of vibration in the upper and lower layers of the system constitute multifrequency excitation, similar to the excitation experienced by a submarine propulsion shaft system. Both longitudinal and lateral vibrations are present in the propulsion shaft system [12,13]. In particular, lateral vibrations can significantly degrade the stability of system [14].…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of floating raft system under multiexcitation condition

Li¹,

Zhang²

2020

J. vibroeng.

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A floating raft system is subjected to multiple excitation sources with multiple frequencies for each excitation source. Considering the two characteristics of excitation source, the stability of floating raft system was analyzed. A vibration equation for the floating raft system under multiexcitation condition was established. A multiscale method was then used to solve the equation. The amplitude-frequency response equation and unstable region of solution are discussed. The results show that the vibration of raft frame fits the pattern of soft-spring vibration. This indicates that the excitation of main raft unit with a rigid connection compromises the stability of the system, whereas the excitation of unit with elastic connection increases stability.

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Numerical modeling and experimental analysis on coupled torsional-longitudinal vibrations of a ship's propeller shaft

Cited by 45 publications

References 12 publications

Vibration Analysis of Shaft Misalignment Using Machine Learning Approach under Variable Load Conditions

Vibration Analysis of Shaft Misalignment Using Machine Learning Approach under Variable Load Conditions

Effect of Coupled Torsional and Transverse Vibrations of the Marine Propulsion Shaft System

Stability analysis of floating raft system under multiexcitation condition

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