An identification method of orbit responses rooting in vibration analysis of rotor during touchdowns of active magnetic bearings

Liu, Tao; Lyu, Mindong; Wang, Zixi

doi:10.1016/j.jsv.2017.11.001

Cited by 15 publications

(6 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, orbits can also react to certain failures in bearings or supporting springs [ 59 ]. This parameter is used in the diagnostics of many rotating machines [ 60 , 61 , 62 , 63 , 64 ]. Reconstructing the shaft orbit using Instantaneous Angular Speed (IAS) measurement to detect bearing faults is proposed in [ 65 ].…”

Section: State Of the Artmentioning

confidence: 99%

Condition Monitoring of Horizontal Sieving Screens—A Case Study of Inertial Vibrator Bearing Failure in Calcium Carbonate Production Plant

et al. 2023

View full text Add to dashboard Cite

Predictive maintenance is increasingly popular in many branches, as well as in the mining industry; however, there is a lack of spectacular examples of its practice efficiency. Close collaboration between Omya Group and Wroclaw University of Science and Technology allowed investigation of the failure of the inertial vibrator’s bearing. The signals of vibration are captured from the sieving screen just before bearing failure and right after repair, when it was visually inspected after replacement. The additional complication was introduced by the loss of stable attachment of the vibrator’s shield, which produced great periodical excitation in each place of measurement on the machine. Such anomalies in the signals, in addition to falling pieces of material, made impossible the diagnostics by standard methods. However, the implementation of advanced signal processing techniques such as time–frequency diagrams, envelope spectrum, cyclic spectral coherence, orbits analysis, and phase space plots allowed to undermine defects (pitting on the inner ring). After repair, the amplitudes of vibration from the damaged bearing side were reduced by five times, while sound pressure was only two times lower. The quantitative parameters of vibrations showed significant changes: time series RMS (−68%) median energy of spectrograms (89%), frequencies ratio of cyclic spectral coherence (−85%), and average amplitude of harmonics in envelope spectrum (−80%). The orbits demonstrated changes in inclination angle (16%) and sizes (−48 ... −96%), as well as phase space plots sizes (−28 ... −67%). Directions of further research are considered.

show abstract

Section: State Of the Artmentioning

confidence: 99%

Condition Monitoring of Horizontal Sieving Screens—A Case Study of Inertial Vibrator Bearing Failure in Calcium Carbonate Production Plant

et al. 2023

View full text Add to dashboard Cite

show abstract

“…where: Kda and Kca can be calculated from formula in literature [23], and thei are related to the contact angle.…”

Section: Dynamics Model Of Protective Bearingsmentioning

confidence: 99%

Eccentric Rotor Drop Dynamics Study of Vertical Maglev Bearing System

et al. 2023

View full text Add to dashboard Cite

When considering the problem of a vertical magnetic levitation bearing system, the rotor eccentric fall is more likely to cause the failure of the protective bearing. In this paper, a rotor drop collision model and a protective bearing dynamics model are constructed. It compares and analyzes the evolution of collision force values of the rotor eccentric drop as well as the non-eccentric drop. Further, this paper discusses the law of influence of three factors, rotor quality, rotational speed, and axial protection clearance, on the collision characteristics of the protected bearing in eccentric and non-eccentric cases. It has also experimentally verified this characteristic of rotor speed. The results show that compared with the non-eccentric condition, the axial impact force and radial impact forces of the rotor in the eccentric condition increase by 14% and 114%, respectively. Compared with the non-eccentric condition, with the increase in rotor quality, the axial and radial impact force increase by 68% on average, and the axial depth amplitude of the rotor increases by 350%. With the increase of rotor speed, the axial impact force without an eccentric drop is basically unchanged; the axial impact force of an eccentric drop increases slightly, and the radial impact force increases by 110%. With the increase of axial protection clearance, the radial displacement vibration of the rotor axis increases; the average increase of the maximum axial force is 120 N, and the average increase of the maximum radial force is 100%.

show abstract

“…The feature-frequency separation methods based on singular value decomposition were presented to identify misalignment and rub-impact faults in a rotor. 38,39 Liu et al 40 classified the orbit responses induced by rub, bouncing, and pendulum vibration of an AMB rotor system during touchdowns through the mathematical expectation and discrete Fourier transform. Yang and Tavner 41 adopted empirical mode decomposition (EMD) and high-resolution spectrum to purify a transient shaft trajectory and distinguished rotor-to-stator rub and fluid excitation faults of a centrifugal compressor.…”

Section: Introductionmentioning

confidence: 99%

Multi-fault classification of rotor systems based on phase feature of axis trajectory in noisy environments

Hua

Xiong

et al. 2023

Structural Health Monitoring

View full text Add to dashboard Cite

As it is difficult to distinguish multiple rotor faults with similar dynamic phenomena in noisy environments, a multi-fault classification method is proposed by combining the extracted trajectory phase feature, a parameter-optimized variational mode decomposition (VMD) method and a light gradient boosting machine (LightGBM) model. The trajectory phase feature is extracted from an axis trajectory by fusing the frequency, amplitude, and phase information related to rotor motion and can comprehensively describe the dynamic characteristics induced by different rotor faults. First, the vibration displacement signals in two orthogonal directions are collected to construct the axis trajectories with 12 rotor states including healthy, unbalance, misalignment, single crack, multiple cracks, and a mixture of them. Second, the trajectory phase feature is extracted from the vectorized axis trajectories, and the frequency spectra of trajectory phase angles under different rotor faults are analyzed through Fourier transform. Finally, a parameter-optimized VMD method combined with a LightGBM model is applied to classify multiple faults of rotor systems in different noisy environments based on the extracted trajectory phase feature. The 12 rotor states can be classified into nine categories based on the harmonic information of 1X–7X components (X is the rotating frequency of a rotor system) and other components with smaller amplitudes in the frequency spectra of trajectory phase angles. The average classification accuracy of the 12 rotor states exceeds 93.0%, and the recognition rate for each kind of fault is greater than 77.5% in noisy environments. The simulated and experimental results demonstrate the effectiveness and adaptability of the proposed multi-fault classification method. This work can provide a reference for the condition monitoring and fault diagnosis of rotor systems in engineering.

show abstract

An identification method of orbit responses rooting in vibration analysis of rotor during touchdowns of active magnetic bearings

Cited by 15 publications

References 40 publications

Condition Monitoring of Horizontal Sieving Screens—A Case Study of Inertial Vibrator Bearing Failure in Calcium Carbonate Production Plant

Condition Monitoring of Horizontal Sieving Screens—A Case Study of Inertial Vibrator Bearing Failure in Calcium Carbonate Production Plant

Eccentric Rotor Drop Dynamics Study of Vertical Maglev Bearing System

Multi-fault classification of rotor systems based on phase feature of axis trajectory in noisy environments

Contact Info

Product

Resources

About