Operational transfer path analysis with crosstalk cancellation using independent component analysis

Cheng, Wei; Chu, Yapeng; Chen, Xuefeng; Zhou, Guanghui; Blamaud, Diane; Lu, Jingbai

doi:10.1016/j.jsv.2020.115224

Cited by 16 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, Chang et al applied ICA to operational transfer path analysis (OTPA) and removed the crosstalk effect of the reference signal through ICA. The method in the study identified a more accurate delivery route than the existing OTPA method [21].…”

Section: Introductionmentioning

confidence: 92%

Identification of Automotive Seat Rattle Noise Using an Independent Component Analysis-Based Coherence Analysis Technique

Yoo

Jeong

2020

Applied Sciences

View full text Add to dashboard Cite

This study proposed a contribution evaluation through the independent component analysis (ICA) method. The necessity of applying ICA to the evaluation of contribution was investigated through numerical simulation. Moreover, the estimation of the number of input sources, the labeling of signals, and the restoration of the signal amplitude were considered to perform the ICA-based coherence evaluation. The contribution evaluation was performed using the coherence evaluation method and by applying the established ICA-based coherence evaluation method to the seat rattle noise of the vehicle. According to the result of the evaluation, with the coherence evaluation technique it was difficult to calculate the contribution in identifying noise sources that overlap in both spatially and in frequency, because it was challenging to distinguish between the two measured signals. By contrast, the ICA-based coherence evaluation was able to restore the original source and investigate the contribution.

show abstract

Section: Introductionmentioning

confidence: 92%

Identification of Automotive Seat Rattle Noise Using an Independent Component Analysis-Based Coherence Analysis Technique

Yoo

Jeong

2020

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Transfer path analysis methods mainly include experimental approaches 6,7 and time-domain identification simulation. 8,9 Among them, experimental approaches can directly yield the transfer function through the hammer test.…”

Section: Introductionmentioning

confidence: 99%

Kalman filter identification method for micro-vibration transfer paths of satellites

Shen

Yang

Sheng

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

Micro-vibrations on-board a satellite have degrading effects on the performance of certain payloads like observation cameras. The major sources of vibrations include momentum wheels, solar array drives, other rotary mechanical equipment, etc. These vibrations result in loss of the pointing precision and image quality of the payload through intricate transfer paths. To improve the accuracy of a satellite system with many vibration sources and complex transfer paths, it is necessary to determine the main transfer path of vibration. In this study, a path identification method is proposed and applied to the transfer system from the momentum wheel to the camera mount. First, the observer/Kalman filter identification (OKID) algorithm is used to acquire the state-space equation of each path subsystem. Then, the subsystem order is obtained based on the slope of the singular entropy increment. In the next phase, combined with the measured disturbance force of the momentum wheel, the displacement response of the target point is predicted. Finally, the dominant transfer path of vibration is achieved by calculating the vibration contribution of each path to the response point. The results indicate that the dominant transfer path is the axial path of the horizontal momentum wheel, which contributes to the vibration of the camera mount at most. Effective vibration reduction measures should be taken to this path to suppress the vibration signal. In comparing the identified displacement response with the finite element response of the camera mount under different noise conditions, the correlation coefficients are >0.85, which proves the accuracy and anti-noise capability of the identification method.

show abstract

“…Mihkel [16] applied singular value decomposition (SVD) and principal component analysis (PCA) to solve the crosstalk problem of OTPA, which cancelled crosstalk by cutting off small singular values or principal components. Cheng et al [17] proposed a novel crosstalk cancellation method based on independent component analysis (ICA) to eliminate crosstalk effects between reference signals of operational transfer path analysis (OTPA). Zhang [18] performed crosstalk cancellation pre-processing on experimental data to achieve more accurate data for the transfer path analysis, and the experiment proved that it can obtain more accurate contribution results for each path.…”

mentioning

confidence: 99%

The Transfer Paths’ Contribution Analysis to Floor Vibration of Metro Vehicle

Peng

Nie

Cai-ying

2020

Preprint

View full text Add to dashboard Cite

Noise control is one of key issues to improve the ride comfort of metro trains. To find out the excitation source and its transfer path is an important prerequisite for noise control. The sound source identification results found that the significant noise source in metro trains is the structural-borne sound radiated by floor vibration. Based on the OTPA method, this study presents a method considering the amplitude and phase of the excitation to analyze the contribution of the secondary suspension path to the floor vibration. The results show that the energy of the passenger room noise mainly concentrates on the frequency range of 300~800Hz, caused by floor vibration; in the frequency range of 300~800Hz, the vertical direction of the anti-rolling torsion bar area provides the maximum contribution to the floor vibration, followed by the longitudinal direction of the air spring area. On the basis of contribution analysis, a transfer path optimization scheme is proposed, which may provide reference for future metro trains noise control.

show abstract

Operational transfer path analysis with crosstalk cancellation using independent component analysis

Cited by 16 publications

References 23 publications

Identification of Automotive Seat Rattle Noise Using an Independent Component Analysis-Based Coherence Analysis Technique

Identification of Automotive Seat Rattle Noise Using an Independent Component Analysis-Based Coherence Analysis Technique

Kalman filter identification method for micro-vibration transfer paths of satellites

The Transfer Paths’ Contribution Analysis to Floor Vibration of Metro Vehicle

Contact Info

Product

Resources

About