{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T08:04:54Z","timestamp":1772525094317,"version":"3.50.1"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,9,5]],"date-time":"2020-09-05T00:00:00Z","timestamp":1599264000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,5]],"date-time":"2020-09-05T00:00:00Z","timestamp":1599264000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Natural Science Foundation Council of China","award":["51905461"],"award-info":[{"award-number":["51905461"]}]},{"name":"National Key Research and Development Program of China","award":["2018YFB2001101 and 2019YFB2005101"],"award-info":[{"award-number":["2018YFB2001101 and 2019YFB2005101"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1007\/s10845-020-01651-5","type":"journal-article","created":{"date-parts":[[2020,9,5]],"date-time":"2020-09-05T09:02:41Z","timestamp":1599296561000},"page":"121-135","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Chatter detection for milling using novel p-leader multifractal features"],"prefix":"10.1007","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5548-7256","authenticated-orcid":false,"given":"Yun","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaizhong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8271-9208","authenticated-orcid":false,"given":"Liang","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangjian","family":"Bu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaogan","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ding","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,5]]},"reference":[{"key":"1651_CR1","doi-asserted-by":"crossref","unstructured":"Abry, P., Jaffard, S., & Wendt, H. (2015). Irregularities and scaling in signal and image processing: multifractal analysis. In Benoit Mandelbrot: A life in many dimensions (pp. 31\u2013116). World Scientific.","DOI":"10.1142\/9789814366076_0003"},{"key":"1651_CR2","doi-asserted-by":"crossref","unstructured":"Abry, P., Wendt, H., Jaffard, S., Helgason, H., Gon\u00e7alves, P., Pereira, E., et al. (2010). Methodology for multifractal analysis of heart rate variability: From LF\/HF ratio to wavelet leaders. In Paper presented at the 2010 annual international conference of the IEEE engineering in medicine and biology, Buenos Aires, Argentina.","DOI":"10.1109\/IEMBS.2010.5626124"},{"key":"1651_CR3","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.ymssp.2019.01.002","volume":"123","author":"P Albertelli","year":"2019","unstructured":"Albertelli, P., Braghieri, L., Torta, M., & Monno, M. (2019). Development of a generalized chatter detection methodology for variable speed machining. Mechanical Systems and Signal Processing, 123, 26\u201342.","journal-title":"Mechanical Systems and Signal Processing"},{"issue":"1","key":"1651_CR4","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1016\/S0007-8506(07)62342-7","volume":"44","author":"Y Altintas","year":"1995","unstructured":"Altintas, Y., & Budak, E. (1995). Analytical prediction of stability lobes in milling. CIRP Annals\u2014Manufacturing Technology, 44(1), 357\u2013362.","journal-title":"CIRP Annals\u2014Manufacturing Technology"},{"issue":"2","key":"1651_CR5","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s10845-013-0774-6","volume":"26","author":"T Benkedjouh","year":"2013","unstructured":"Benkedjouh, T., Medjaher, K., Zerhouni, N., & Rechak, S. (2013). Health assessment and life prediction of cutting tools based on support vector regression. Journal of Intelligent Manufacturing, 26(2), 213\u2013223.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"3","key":"1651_CR6","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1007\/s10115-012-0487-8","volume":"34","author":"V Bolon-Canedo","year":"2013","unstructured":"Bolon-Canedo, V., Sanchez-Marono, N., & Alonso-Betanzos, A. (2013). A review of feature selection methods on synthetic data (review). Knowledge and Information Systems, 34(3), 483\u2013519.","journal-title":"Knowledge and Information Systems"},{"key":"1651_CR7","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.ijmachtools.2013.02.007","volume":"69","author":"H Cao","year":"2013","unstructured":"Cao, H., Lei, Y., & He, Z. (2013). Chatter identification in end milling process using wavelet packets and Hilbert-Huang transform. International Journal of Machine Tools and Manufacture, 69, 11\u201319.","journal-title":"International Journal of Machine Tools and Manufacture"},{"key":"1651_CR8","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1016\/j.precisioneng.2018.12.004","volume":"56","author":"Y Chen","year":"2019","unstructured":"Chen, Y., Li, H., Hou, L., & Bu, X. (2019). Feature extraction using dominant frequency bands and time-frequency image analysis for chatter detection in milling. Precision Engineering, 56, 235\u2013245.","journal-title":"Precision Engineering"},{"key":"1651_CR9","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.measurement.2018.06.006","volume":"127","author":"Y Chen","year":"2018","unstructured":"Chen, Y., Li, H., Hou, L., Wang, J., & Bu, X. (2018). An intelligent chatter detection method based on EEMD and feature selection with multi-channel vibration signals. Measurement, 127, 356\u2013365.","journal-title":"Measurement"},{"issue":"9","key":"1651_CR10","doi-asserted-by":"publisher","first-page":"5284","DOI":"10.1103\/PhysRevA.40.5284","volume":"40","author":"AB Chhabra","year":"1989","unstructured":"Chhabra, A. B., Meneveau, C., Jensen, R. V., & Sreenivasan, K. (1989). Direct determination of the f(\u03b1) singularity spectrum and its application to fully developed turbulence. Physical Review A, 40(9), 5284.","journal-title":"Physical Review A"},{"issue":"3","key":"1651_CR11","doi-asserted-by":"publisher","first-page":"2272","DOI":"10.1109\/TIE.2019.2892667","volume":"67","author":"W Du","year":"2019","unstructured":"Du, W., Kang, M., & Pecht, M. (2019). Fault diagnosis using adaptive multifractal detrended fluctuation analysis. IEEE Transactions on Industrial Electronics, 67(3), 2272\u20132282.","journal-title":"IEEE Transactions on Industrial Electronics"},{"issue":"1\u20132","key":"1651_CR12","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.ymssp.2013.09.003","volume":"43","author":"W Du","year":"2014","unstructured":"Du, W., Tao, J., Li, Y., & Liu, C. (2014). Wavelet leaders multifractal features based fault diagnosis of rotating mechanism. Mechanical Systems and Signal Processing, 43(1\u20132), 57\u201375.","journal-title":"Mechanical Systems and Signal Processing"},{"issue":"3","key":"1651_CR13","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1007\/s10845-017-1302-x","volume":"30","author":"Y Fu","year":"2017","unstructured":"Fu, Y., Zhang, Y., Gao, H., Mao, T., Zhou, H., Sun, R., et al. (2017). Automatic feature constructing from vibration signals for machining state monitoring. Journal of Intelligent Manufacturing, 30(3), 995\u20131008.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1651_CR14","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1016\/j.ymssp.2016.01.003","volume":"75","author":"Y Fu","year":"2016","unstructured":"Fu, Y., Zhang, Y., Zhou, H., Li, D., Liu, H., Qiao, H., et al. (2016). Timely online chatter detection in end milling process. Mechanical Systems and Signal Processing, 75, 668\u2013688.","journal-title":"Mechanical Systems and Signal Processing"},{"key":"1651_CR15","doi-asserted-by":"publisher","first-page":"141","DOI":"10.3389\/fphys.2012.00141","volume":"3","author":"EA Ihlen","year":"2012","unstructured":"Ihlen, E. A. (2012). Introduction to multifractal detrended fluctuation analysis in matlab. Frontiers in Physiology, 3, 141\u2013159.","journal-title":"Frontiers in Physiology"},{"issue":"1","key":"1651_CR16","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1002\/nme.1061","volume":"61","author":"T Insperger","year":"2004","unstructured":"Insperger, T., & Stepan, G. (2004). Updated semi-discretization method for periodic delay-differential equations with discrete delay. International Journal for Numerical Methods in Engineering, 61(1), 117\u2013141.","journal-title":"International Journal for Numerical Methods in Engineering"},{"key":"1651_CR17","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.physa.2015.12.061","volume":"448","author":"S Jaffard","year":"2016","unstructured":"Jaffard, S., Melot, C., Leonarduzzi, R., Wendt, H., Abry, P., Roux, S. G., et al. (2016). p-exponent and p-leaders, part I: Negative pointwise regularity. Physica A-Statistical Mechanics and its Applications, 448, 300\u2013318.","journal-title":"Physica A-Statistical Mechanics and its Applications"},{"key":"1651_CR18","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.jsv.2018.07.019","volume":"433","author":"Y Ji","year":"2018","unstructured":"Ji, Y., Wang, X., Liu, Z., Wang, H., Jiao, L., Wang, D., et al. (2018). Early milling chatter identification by improved empirical mode decomposition and multi-indicator synthetic evaluation. Journal of Sound and Vibration, 433, 138\u2013159.","journal-title":"Journal of Sound and Vibration"},{"key":"1651_CR19","doi-asserted-by":"crossref","unstructured":"Lashermes, B., Jaffard, S., & Abry, P. (2005). Wavelet leader based multifractal analysis. In Paper presented at the IEEE international conference on acoustics, speech, and signal processing, Philadelphia, Pennsylvania, USA.","DOI":"10.1109\/ICASSP.2005.1415970"},{"key":"1651_CR20","doi-asserted-by":"crossref","unstructured":"Leonarduzzi, R. F., Spilka, J., Wendt, H., Jaffard, S., Torres, M. E., Abry, P., et al. (2015). p-leader based classification of first stage intrapartum fetal HRV. In Paper presented at the VI Latin American congress on biomedical engineering CLAIB 2014, Paran\u00e1, Argentina.","DOI":"10.1007\/978-3-319-13117-7_129"},{"key":"1651_CR21","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.sigpro.2014.06.002","volume":"105","author":"RF Leonarduzzi","year":"2014","unstructured":"Leonarduzzi, R. F., Torres, M. E., & Abry, P. (2014). Scaling range automated selection for wavelet leader multifractal analysis. Signal Processing, 105, 243\u2013257.","journal-title":"Signal Processing"},{"key":"1651_CR22","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1016\/j.physa.2015.12.035","volume":"448","author":"R Leonarduzzi","year":"2016","unstructured":"Leonarduzzi, R., Wendt, H., Abry, P., Jaffard, S., Melot, C., Roux, S. G., et al. (2016). p-exponent and p-leaders, part II: Multifractal analysis. Relations to detrended fluctuation analysis. Physica A-Statistical Mechanics and its Applications, 448, 319\u2013339.","journal-title":"Physica A-Statistical Mechanics and its Applications"},{"key":"1651_CR23","first-page":"1","volume":"135","author":"K Li","year":"2020","unstructured":"Li, K., He, S., Li, B., Liu, H., Mao, X., & Shi, C. (2020). A novel online chatter detection method in milling process based on multiscale entropy and gradient tree boosting. Mechanical Systems and Signal Processing, 135, 1\u201319.","journal-title":"Mechanical Systems and Signal Processing"},{"issue":"5","key":"1651_CR24","doi-asserted-by":"publisher","first-page":"1143","DOI":"10.3390\/s17051143","volume":"17","author":"J Liu","year":"2017","unstructured":"Liu, J., Hu, Y., Wu, B., Wang, Y., & Xie, F. (2017). A hybrid generalized hidden Markov model-based condition monitoring approach for rolling bearings. Sensors (Basel), 17(5), 1143\u20131162.","journal-title":"Sensors (Basel)"},{"key":"1651_CR25","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.ymssp.2017.11.046","volume":"105","author":"C Liu","year":"2018","unstructured":"Liu, C., Zhu, L., & Ni, C. (2018). Chatter detection in milling process based on VMD and energy entropy. Mechanical Systems and Signal Processing, 105, 169\u2013182.","journal-title":"Mechanical Systems and Signal Processing"},{"key":"1651_CR26","unstructured":"MathWorks. (2020). Bayesian optimization algorithm. Retrieved June 24, 2020, from https:\/\/www.mathworks.com\/help\/stats\/bayesian-optimization-algorithm.html#bvaz8tr-1."},{"issue":"1","key":"1651_CR27","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1080\/21642583.2019.1588804","volume":"7","author":"M Ren","year":"2019","unstructured":"Ren, M., Zhang, Q., & Zhang, J. (2019). An introductory survey of probability density function control. Systems Science and Control Engineering, 7(1), 158\u2013170.","journal-title":"Systems Science and Control Engineering"},{"key":"1651_CR28","doi-asserted-by":"publisher","first-page":"1243","DOI":"10.1007\/s10845-019-01509-5","volume":"31","author":"J Tao","year":"2019","unstructured":"Tao, J., Qin, C., Xiao, D., Shi, H., Ling, X., Li, B., et al. (2019). Timely chatter identification for robotic drilling using a local maximum synchrosqueezing-based method. Journal of Intelligent Manufacturing, 31, 1243\u20131255.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1651_CR29","doi-asserted-by":"crossref","unstructured":"Wendt, H., Kiyono, K., Abry, P., Hayano, J., Watanabe, E., & Yamamoto, Y. (2014). Multiscale wavelet p-leader based heart rate variability analysis for survival probability assessment in CHF patients. In Paper presented at the 2014 36th annual international conference of the IEEE engineering in medicine and biology society, Chicago, IL, USA.","DOI":"10.1109\/EMBC.2014.6944207"},{"issue":"6","key":"1651_CR30","doi-asserted-by":"publisher","first-page":"1100","DOI":"10.1016\/j.sigpro.2008.12.015","volume":"89","author":"H Wendt","year":"2009","unstructured":"Wendt, H., Roux, S. G., Jaffard, S., & Abry, P. (2009). Wavelet leaders and bootstrap for multifractal analysis of images. Signal Processing, 89(6), 1100\u20131114.","journal-title":"Signal Processing"},{"issue":"5","key":"1651_CR31","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1016\/j.jmatprotec.2009.11.007","volume":"210","author":"Z Yao","year":"2010","unstructured":"Yao, Z., Mei, D., & Chen, Z. (2010). On-line chatter detection and identification based on wavelet and support vector machine. Journal of Materials Processing Technology, 210(5), 713\u2013719.","journal-title":"Journal of Materials Processing Technology"},{"key":"1651_CR32","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.cirpj.2019.11.003","volume":"28","author":"MC Yesilli","year":"2020","unstructured":"Yesilli, M. C., Khasawneh, F. A., & Otto, A. (2020). On transfer learning for chatter detection in turning using wavelet packet transform and ensemble empirical mode decomposition. CIRP Journal of Manufacturing Science and Technology, 28, 118\u2013135.","journal-title":"CIRP Journal of Manufacturing Science and Technology"},{"key":"1651_CR33","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.ijmachtools.2016.06.002","volume":"108","author":"Z Zhang","year":"2016","unstructured":"Zhang, Z., Li, H., Meng, G., Tu, X., & Cheng, C. (2016). Chatter detection in milling process based on the energy entropy of VMD and WPD. International Journal of Machine Tools and Manufacture, 108, 106\u2013112.","journal-title":"International Journal of Machine Tools and Manufacture"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-020-01651-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10845-020-01651-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-020-01651-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T19:36:01Z","timestamp":1641411361000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10845-020-01651-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,5]]},"references-count":33,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["1651"],"URL":"https:\/\/doi.org\/10.1007\/s10845-020-01651-5","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,5]]},"assertion":[{"value":"25 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 August 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 September 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}