{"title":"Research progress on bearing fault diagnosis with localized defects and distributed defects for rolling element bearings","authors":"Samruddhi Patel, Utpal Shah, B. Khatri, U. Patel","doi":"10.1177/09574565221114661","DOIUrl":"https://doi.org/10.1177/09574565221114661","url":null,"abstract":"In rotating machinery, rolling elements are the key members of the rolling element bearing (REB), which has tremendous application in automobiles, aerospace, ships, machinery apparatuses, and many more industrial sectors. Bearings are a significant source of various non-linear parameters which strongly affect the whole system. In the last two decades, tremendous research and approaches have been developed, considering the different parameters and faultiness for the proper understanding of the system’s non-linear behavior. This research paper summarizes the literature review on bearing fault diagnosis with localized and distributed defects for rolling element bearings with various non-linear parameters. Artificially-generated defects on the bearing races provides the vibration analysis of the system. These factors like radial clearance, unbalanced force, preload, misalignment, etc. are also considered defects in bearings. Moreover, the literature highlights some significant gaps that should be examined for future research in the condition monitoring of the mechanism.","PeriodicalId":55888,"journal":{"name":"Noise and Vibration Worldwide","volume":"53 1","pages":"352 - 365"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44697554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Relative acoustic nonlinearity parameter variation with local defect resonance frequencies and its different harmonics","authors":"Nsvn Hanuman, T. Bose","doi":"10.1177/09574565221114656","DOIUrl":"https://doi.org/10.1177/09574565221114656","url":null,"abstract":"In recent times, nonlinear ultrasonic inspection has become a very reliable technique to characterize micro-scale cracks and small-scale delaminations. In this paper, an analytical framework is developed for the orthotropic composite plate to calculate the variation of relative acoustic nonlinearity parameter, a quantitative measurement of nonlinearity at the delamination region. The analytical investigation is justified with numerical and experimental research using a carbon fiber-reinforced polymer (CFRP) plate with three delaminations. Two incident waves are used for excitation, out of which the first wave frequency is varied as local defect resonance (LDR) frequency (fd), subharmonic LDR frequency (2fd), second-order superharmonic LDR frequency (fd/2), and third-order superharmonic LDR frequency (fd/3) while the second incident wave is taken as a single periodic frequency. Different delamination sizes, positions, and depths were used to understand the second-order relative acoustic nonlinearity parameter (β2) with other LDR frequencies as well as its harmonics. It has been observed from analytical, numerical, and experimental results that the relative acoustic nonlinearity parameter is maximum at LDR frequencies. It increases in case of surface level delaminations.","PeriodicalId":55888,"journal":{"name":"Noise and Vibration Worldwide","volume":"53 1","pages":"343 - 351"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48920057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimation of blast-induced peak particle velocity using ensemble machine learning algorithms: A case study","authors":"P. Ragam, Ashoka Reddy Komalla, Nikhitha Kanne","doi":"10.1177/09574565221114662","DOIUrl":"https://doi.org/10.1177/09574565221114662","url":null,"abstract":"Over recent decades, ambiguous ground vibration induced by blasting operation can cause extensive damage to structures, lives and fields in and around mine premises. As a consequence, it is indispensable to measure the ambiguous ground vibration intensity levels for assessing and reduce their perilous impact. In this investigation, estimation and evaluation of blast-induced ground vibration in terms of peak particle velocity (PPV) through the ensemble machine learning intelligent algorithms were carried out. One hundred and 21 experimental and blasting events were monitored to collect the real-time field data in Mine-A, India. The collected data was randomly split into training and testing to generate models. Eight input parameters include number of holes, burden, spacing, hole diameter, hole depth, top stemming, maximum explosive charge per delay and the distance were selected for development of ensemble machine learning algorithms. An eXtreme gradient boosting (XGBoost) and random forest (RF) ensemble model, Decision Tree were developed to assess the PPV levels. In addition to that, four empirical predictor models proposed by the US Bureau of Mines, Langefors–Kihlstrom, Central Mining Research Institute, and Bureau of Indian Standards were applied to derive a relation between PPV and its influencing parameters. The accuracy and efficiency of developed models can be determined by performance evaluation metrics chosen as the coefficient of determination (R2), and root mean square error (RMSE). Among all models, yielded results evidence that the Decision Tree ensemble model with the R2 of 0.9549, and RMSE of 0.0444 was more precise optimum model to assess the PPV. Besides, a sensitivity analysis method was applied in this current study to know the role of the input parameters in estimating PPV. The determined results inferred that burden, number of holes and top stemming are more influenced parameters on the intensity of PPV levels.","PeriodicalId":55888,"journal":{"name":"Noise and Vibration Worldwide","volume":"53 1","pages":"404 - 413"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49229161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Experimental analysis of steering wheel vibrations of an agriculture tractor for reduction of hand-arm vibrations","authors":"S. S. Naygaonkar, S. Desai","doi":"10.1177/09574565221093252","DOIUrl":"https://doi.org/10.1177/09574565221093252","url":null,"abstract":"Steering wheel vibration is one of the most important factors in determining the operator comfort in agricultural tractors. It is important to investigate steering wheel vibrations in an agricultural tractor in order to improve the operator’s comfort and decrease the negative health impacts on the operator’s hand. The Mahindra 575 DI tractor was selected for further investigation and development as the maximum vibration acceleration was found in the Mahindra 575 DI tractor while measuring the amplitude of vibration on various tractors. The experimental test setup was designed with a solution to reduce steering wheel vibrations. The experimental analysis of steering wheel vibration of an agriculture tractor for the reduction of Hand-Arm Vibration Syndrome (HAVS) is presented in this research article. The vibration level was decreased effectively after establishing a tuned mass damper between the steering gearbox and the vibration exciter.","PeriodicalId":55888,"journal":{"name":"Noise and Vibration Worldwide","volume":"53 1","pages":"308 - 321"},"PeriodicalIF":0.0,"publicationDate":"2022-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42736237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fault feature extraction method of gear based on spectral amplitude modulation and autocorrelation analysis","authors":"X. Zhong, Q. Mei, Xiang Gao, Tianwei Huang, Xiao Zhao","doi":"10.1177/09574565221093249","DOIUrl":"https://doi.org/10.1177/09574565221093249","url":null,"abstract":"Due to the strong noise interference and amplitude modulation effect, it is difficult to extract the impact characteristics of the fault gear from the spectrum of the fault signal. To tackle these issues, a gear fault feature extraction method based on spectral amplitude modulation (SAM) and autocorrelation analysis is proposed. First, the SAM method is used to decompose the signal into different components according to energy, and the optimal component with the most fault information is determined by combining kurtosis index and magnitude order selection range. Then, the optimal component is denoised using the autocorrelation function. Finally, the fault feature frequency is extracted by calculating the squared envelope spectrum of the denoised signal. The superiority of the method is verified by simulating the signal. Furthermore, the effectiveness and superiority of the method in gear fault diagnosis are verified by comparison with the fast kurtogram, cepstrum pre-whitening, and SAM.","PeriodicalId":55888,"journal":{"name":"Noise and Vibration Worldwide","volume":"53 1","pages":"277 - 289"},"PeriodicalIF":0.0,"publicationDate":"2022-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46079726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Grey correlation analysis of milling temperature and milling vibration of TC4 titanium alloy","authors":"S. Li, Yuting Hu, E. Popov","doi":"10.1177/09574565221093251","DOIUrl":"https://doi.org/10.1177/09574565221093251","url":null,"abstract":"In this paper, a synchronous acquisition system of milling temperature and milling vibration was established to measure the data of milling temperature and milling vibration. Based on grey correlation theory, the influence of milling parameters and milling vibration on milling temperature was analyzed. It is found that the grey correlation degree between milling temperature and milling parameters and vibration is above 0.70, indicating that milling parameters and vibration have great influence on temperature. In addition, the GM (0, N) grey prediction model of milling temperature on milling parameters and milling vibration was established, and the correlation coefficient of the model was above 0.8, indicating that the reliability of the model was high, and the correlation between milling temperature and milling vibration signal was high.","PeriodicalId":55888,"journal":{"name":"Noise and Vibration Worldwide","volume":"53 1","pages":"330 - 339"},"PeriodicalIF":0.0,"publicationDate":"2022-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44245437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The study of the vibration under different lubrication states based on Stribeck curve","authors":"Hai J Yu, Haijun Wei","doi":"10.1177/09574565221093247","DOIUrl":"https://doi.org/10.1177/09574565221093247","url":null,"abstract":"The tribology system is a complex nonlinear dynamical system. To study the vibration under different lubrication states, the experiments on full-film lubrication state and mixed lubrication state are designed based on Stribeck curve. In full-film lubrication state, vibration signal energy does not increase, but in mixed lubrication state, vibration signal energy increases with the increase of loading force. Under the condition of full-film lubrication, the autocorrelation function of vibration signal is similar to that of noise signal, which has smooth characteristics. In mixed lubrication state, the autocorrelation function of vibration signals has the characteristics of narrow convergence. Results reflect that for smaller loads there are no friction-induced vibrations due to full-film lubrication and for higher loads the friction-induced vibration comes into existence as the rough peaks between pin and disk surfaces come into play.","PeriodicalId":55888,"journal":{"name":"Noise and Vibration Worldwide","volume":"53 1","pages":"322 - 329"},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45912589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Approximating amplitude of a nonlinear oscillator at resonance","authors":"Saeesh Verenkar, Raghavendra D. Naik","doi":"10.1177/09574565221093246","DOIUrl":"https://doi.org/10.1177/09574565221093246","url":null,"abstract":"In this study, we propose a methodology to obtain the approximate amplitude of a nonlinear forced system at resonance that satisfies Lyapunov’s global stability criterion. This analytical method is formulated using the Lyapunov stability criterion and nonlinear approximations. The results obtained were compared with those obtained from the fourth-order Runge–Kutta method. The proposed methodology can approximate the amplitude of a nonlinear non-autonomous system to reasonably good accuracy. This theory will be useful in experimental vibration analysis to approximate the damping in a system. The proposed methodology can also be extended to other nonlinear forced systems. The results also showed that the vibration attenuation or stability of the system depends mainly on the linear coefficients and is least dependent on the cubic stiffness.","PeriodicalId":55888,"journal":{"name":"Noise and Vibration Worldwide","volume":"53 1","pages":"300 - 307"},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48656972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mostafa Rahmiani Iranshahi, M. Aliabadi, R. Golmohammadi, A. Soltanian, M. Babamiri
{"title":"Empirical prediction model of psychophysiological responses of workers with respect to noise exposure based on random forest","authors":"Mostafa Rahmiani Iranshahi, M. Aliabadi, R. Golmohammadi, A. Soltanian, M. Babamiri","doi":"10.1177/09574565221093258","DOIUrl":"https://doi.org/10.1177/09574565221093258","url":null,"abstract":"Evidence of the non-auditory effects of noise exposure on workers is growing. This study aimed to empirically present prediction models of psychophysiological responses of workers with respect to noise exposure. In this study, 169 male workers from typical industrial workrooms were asked to judge the mental workload, noise annoyance, and noise sensitivity during exposure to noise. Two main physiological responses that include heart rate and blood pressure were also measured. Noise exposure characteristics were measured using the calibrated instruments. Empirical prediction models were developed based on Random forest compared with the regression method. 46% of the workers were exposed to noise up to the exposure limit (85 dB for 8 h) and 54% of the workers were exposed to noise upper than it. It is observed that the considerable body response changes of workers exposed to noise from the medium to high levels (p < 0.05). Random forest could provide more accurate predictions than multiple regressions (R square = 0.73 to 0.80). Four variables as noise dose, noise sensitivity, age, and noise frequency are found to be the important factors influencing the psychological responses, respectively. Moreover, the main variables as noise sensitivity and noise dose and age are found to be the important factors influencing the physiological responses, respectively. Changes in the psychophysiological responses above the medium noise levels confirmed that the action level (82 dB for 8 h) can be a suitable criterion to prevent possible auditory and non-auditory complications. These dose-response models can be helpful in setting definitive exposure limits for noise-induced non-auditory effects at workplaces.","PeriodicalId":55888,"journal":{"name":"Noise and Vibration Worldwide","volume":"53 1","pages":"290 - 299"},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45518548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Experimental and theoretical investigations of unbalance flexible rotor in active magnetic bearings considering backup bearings contacts","authors":"R. Ebrahimi","doi":"10.1177/09574565221093223","DOIUrl":"https://doi.org/10.1177/09574565221093223","url":null,"abstract":"This paper describes the experimental verification of an unbalance flexible rotor model in active magnetic bearings. The dynamic modeling takes into account the gyroscopic moments of the disk, geometric coupling of the magnetic actuators, and contact forces of the backup bearings. The Rung–Kutta method is used to integrate the equations of motion. The nonlinear dynamic response is analyzed using bifurcation plots, disc center trajectories, Fast Fourier Transforms, Poincaré maps, and maximum Lyapunov exponent. The analysis is carried out for different values of rotating speed and unbalance eccentricity. In the unbalance test, a concentrated mass of 5 gr is attached in three radial position of the disk. The numerical simulations and experiments prove that a variety of nonlinear dynamical phenomena such as period-3, -4, -8, periodic, quasi-periodic, and chaotic motions occur in the system. The results indicate that the response of the rotor returns back to a regular motion by increasing the rotational speed. Also, by increasing the unbalance eccentricity, the first irregular motion initiates at much higher rotational speeds. Therefore, sufficient attention should be paid to these factors in design of a flexible rotor system equipped with both active magnetic bearings and backup bearings in order to ensure system reliability.","PeriodicalId":55888,"journal":{"name":"Noise and Vibration Worldwide","volume":"53 1","pages":"161 - 171"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42480292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}