Weighted contribution rate of nonlinear output frequency response functions and its application to rotor system fault diagnosis

Liu, Yang; Zhao, Yulai; Lang, Zi–Qiang; Li, Jintao; Yan, Xinxin; Zhao, Siyao

doi:10.1016/j.jsv.2019.114882

Cited by 36 publications

(15 citation statements)

References 22 publications

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“…The support bearings are simplified as the radial stiffness and damping. k bxi , k byi , c bxi , and c byi (i = 1, 2, 3, 4) represent the stiffness and damping of the bearings in the x-direction and y-direction [29], [30]. T d / T g is the input / output torque, respectively.…”

Section: Governing Equationsmentioning

confidence: 99%

Dynamic Modelling Considering Nonlinear Factors of Coupled Spur Gear System and Its Experimental Research

et al. 2020

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For the nonlinear vibration problem of spur gear transmission system caused by friction and gear backlash, the dynamic model of gearbox with 16-degree-of-freedom (16-DOF) considering timevarying meshing stiffness is established by Lagrange equation. The dynamic equations of the gear system are solved by the Newmark-β method. The effects of friction coefficient, error fluctuation and meshing stiffness on the vibration response are investigated. In order to verify the validity of the model, a spur gear transmission rotor test bench was built by simulating the actual working conditions. The root mean square (RMS) is used to verify the accuracy of the model at multiple speeds, and makes up for the shortcomings of many researches without experimental argumentation. The experimental research can provide a reference for the research of gear transmission system. INDEX TERMS Spur gear transmission, precise modeling, friction coefficient, experiment validation.

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Section: Governing Equationsmentioning

confidence: 99%

Dynamic Modelling Considering Nonlinear Factors of Coupled Spur Gear System and Its Experimental Research

et al. 2020

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“…The robustness of both methods was also verified by experimental results. Furthermore, the non-linear output frequency response function NOFRF was used for damage diagnostics in rotor systems in 35 , 36 where numerical simulation and experimental testing have been employed. In 35 , the weighted rate-based NOFRF was applied with special index for rotor crack detection.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the non-linear output frequency response function NOFRF was used for damage diagnostics in rotor systems in 35 , 36 where numerical simulation and experimental testing have been employed. In 35 , the weighted rate-based NOFRF was applied with special index for rotor crack detection. This method was numerically and experimentally validated where the crack detection index has been observed to linearly proportional to the crack depth.…”

Section: Introductionmentioning

confidence: 99%

Negative potential energy content analysis in cracked rotors whirl response

AL-Shudeifat

Alhammadi²

2021

Sci Rep

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Appearance of transverse cracks in rotor systems mainly affects their stiffness content. The stability of such systems at steady-state running is usually analyzed by using the Floquet’s theory. Accordingly, the instability zones of rotational speeds are dominated by negative stiffness content in the whirl response in the vicinity of critical rotational speeds. Consequently, an effective stiffness measure is introduced here to analyze the effect of the crack and the unbalance force vector orientation on the intensity of negative potential and stiffness content in the whirl response. The effective stiffness expression is obtained from the direct integration of the equations of motion of the considered cracked rotor system. The proposed effective stiffness measure is applied for steady-state and transient operations using the Jeffcott rotor model with open and breathing crack models. The intensity of negative potential and stiffness content in the numerical and experimental whirl responses is found to be critically depending on the propagation level of the crack and the unbalance force vector orientation. Therefore, this can be proposed as a crack detection tool in cracked rotor systems that either exhibit recurrent passage through the critical rotational speeds or steady-state running.

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“…The results showed the proposed system achieved high degree of accuracy in predicting the end product quality. From other existing related works include [31][32][33][34][35][36][37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Towards IR4.0 implementation in e-manufacturing: artificial intelligence application in steel plate fault detection

Abdullahi

Samsudin

Ibrahim

et al. 2020

IJEECS

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<span>Fault detection is the task of discovering patterns of a certain fault in industrial manufacturing. Early detection of fault is an essential task in industrial manufacturing. Traditionally, faults are detected by human experts. However, this method suffers from cost and time. In this era of Industrial revolution IR 4.0, machine learning (ML) methods and techniques are developed to solve fault detection problem. In this study, three standard ML models: LR, NB, and SVM are developed for the classification problem. The experimental dataset used in this study consists of steel plates faults. The dataset is retrieved from UCI machine learning repository. Three standard evaluation methods: accuracy, precision, and recall are validated on the classification models. Logistic regression (LR) model achieved the highest accuracy and precision scores of 94.5% and 0.756 respectively. In addition, the SVM model had the highest recall score of 0.317. The results showed the significant impact of AI/ML approach in steel plates fault diagnosis problem. </span>

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Weighted contribution rate of nonlinear output frequency response functions and its application to rotor system fault diagnosis

Cited by 36 publications

References 22 publications

Dynamic Modelling Considering Nonlinear Factors of Coupled Spur Gear System and Its Experimental Research

Dynamic Modelling Considering Nonlinear Factors of Coupled Spur Gear System and Its Experimental Research

Negative potential energy content analysis in cracked rotors whirl response

Towards IR4.0 implementation in e-manufacturing: artificial intelligence application in steel plate fault detection

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