{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T22:19:25Z","timestamp":1771539565152,"version":"3.50.1"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"5-8","license":[{"start":{"date-parts":[[2019,4,22]],"date-time":"2019-04-22T00:00:00Z","timestamp":1555891200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["POCI-01-0247-FEDER-017922"],"award-info":[{"award-number":["POCI-01-0247-FEDER-017922"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Adv Manuf Technol"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1007\/s00170-019-03597-2","type":"journal-article","created":{"date-parts":[[2019,4,22]],"date-time":"2019-04-22T11:03:07Z","timestamp":1555930987000},"page":"2377-2390","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Robust cepstral-based features for anomaly detection in ball bearings"],"prefix":"10.1007","volume":"103","author":[{"given":"Ricardo","family":"Sousa","sequence":"first","affiliation":[]},{"given":"Joel","family":"Antunes","sequence":"additional","affiliation":[]},{"given":"Filipe","family":"Coutinho","sequence":"additional","affiliation":[]},{"given":"Emanuel","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Joaquim","family":"Santos","sequence":"additional","affiliation":[]},{"given":"Hugo","family":"Ferreira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,4,22]]},"reference":[{"key":"3597_CR1","doi-asserted-by":"crossref","unstructured":"Bifet A, Holmes G, Pfahringer B, Kirkby R, Gavald\u00e0 R (2009) New ensemble methods for evolving data streams. In: Proceedings of the 15th ACM SIGKDD International Conference, KDD \u201909. ACM, New York, pp 139\u2013148. ISBN 978-1-60558-495-9","DOI":"10.1145\/1557019.1557041"},{"key":"3597_CR2","volume-title":"Pattern recognition and machine learning (Information Science and Statistics)","author":"CM Bishop","year":"2006","unstructured":"Bishop CM (2006) Pattern recognition and machine learning (Information Science and Statistics). Springer, Berlin. ISBN 0387310738"},{"key":"3597_CR3","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.ymssp.2017.06.012","volume":"99","author":"M Cerrada","year":"2018","unstructured":"Cerrada M, S\u00e1nchez R-V, Li C, Pacheco F, Cabrera D, de Oliveira JV, V\u00e1squez RE (2018) A review on data-driven fault severity assessment in rolling bearings. Mech Syst Signal Process 99:169\u2013196. ISSN 0888-3270. \n                    https:\/\/doi.org\/10.1016\/j.ymssp.2017.06.012\n                    \n                  . \n                    http:\/\/www.sciencedirect.com\/science\/article\/pii\/","journal-title":"Mech Syst Signal Process"},{"key":"3597_CR4","first-page":"1","volume":"7","author":"J Dems~ar","year":"2006","unstructured":"Dems~ar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1\u201330. ISSN 1532-4435","journal-title":"J Mach Learn Res"},{"key":"3597_CR5","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.ymssp.2015.02.008","volume":"60-61","author":"I El-Thalji","year":"2015","unstructured":"El-Thalji I, Jantunen E (2015) A summary of fault modelling and predictive health monitoring of rolling element bearings. Mech Syst Signal Process 60-61:252\u2013272. ISSN 0888-3270. \n                    https:\/\/doi.org\/10.1016\/j.ymssp.2015.02.008\n                    \n                  . \n                    http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0888327015000813","journal-title":"Mech Syst Signal Process"},{"key":"3597_CR6","doi-asserted-by":"publisher","unstructured":"Georgoulas G, Nikolakopoulos G (2016) Bearing fault detection and diagnosis by fusing vibration data. In: IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, pp 6955\u20136960. \n                    https:\/\/doi.org\/10.1109\/IECON.2016.7794118","DOI":"10.1109\/IECON.2016.7794118"},{"issue":"1","key":"3597_CR7","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1109\/PROC.1978.10837","volume":"66","author":"FJ Harris","year":"1978","unstructured":"Harris FJ (1978) On the use of windows for harmonic analysis with the discrete Fourier transform. Proc IEEE 66(1):51\u201383. ISSN 0018-9219. \n                    https:\/\/doi.org\/10.1109\/PROC.1978.10837","journal-title":"Proc IEEE"},{"key":"3597_CR8","doi-asserted-by":"publisher","first-page":"3480","DOI":"10.1109\/TIM.2009.2036347","volume":"60","author":"HM Hashemian","year":"2011","unstructured":"Hashemian HM (2011) State-of-the-art predictive maintenance techniques. IEEE Trans Instrum Meas 60:3480\u20133492","journal-title":"IEEE Trans Instrum Meas"},{"issue":"1","key":"3597_CR9","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/S0003-682X(97)00018-2","volume":"53","author":"RBW Heng","year":"1998","unstructured":"Heng RBW, Nor MJM (1998) Statistical analysis of sound and vibration signals for monitoring rolling element bearing condition. Appl Acoust 53(1):211\u2013226. ISSN 0003-682X. \n                    https:\/\/doi.org\/10.1016\/S0003-682X(97)00018-2\n                    \n                  . \n                    http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0003682X97000182","journal-title":"Appl Acoust"},{"key":"3597_CR10","unstructured":"Holmes MP, Gray AG, Isbell Jr CL (2008) QUIC-SVD: fast SVD using cosine trees. In: Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, pp 673\u2013680. \n                    http:\/\/papers.nips.cc\/paper\/3473-quic-svd-fast-svd-using-cosine-trees"},{"key":"3597_CR11","unstructured":"Howard I, Howard IM (1994) Defence Science, Technology Organisation (Australia), Aeronautical, and Maritime Research Laboratory (Australia). A review of rolling element bearing vibration: detection, diagnosis and prognosis \/ Ian Howard. DSTO Aeronautical and Maritime Research Laboratory Melbourne"},{"key":"3597_CR12","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1098\/rspa.1998.0193","volume":"454","author":"NE Huang","year":"1998","unstructured":"Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Yen N-C, Tung CC, Liu HH (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc A: Math Phys Eng Sci 454:903\u2013995. \n                    https:\/\/doi.org\/10.1098\/rspa.1998.0193","journal-title":"Proc R Soc A: Math Phys Eng Sci"},{"key":"3597_CR13","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.ymssp.2016.05.009","volume":"82","author":"Y Imaouchen","year":"2017","unstructured":"Imaouchen Y, Kedadouche M, Alkama R, Thomas M (2017) A frequency-weighted energy operator and complementary ensemble empirical mode decomposition for bearing fault detection. Mech Syst Signal Process 82:103 \u2013 116. ISSN 0888-3270. \n                    https:\/\/doi.org\/10.1016\/j.ymssp.2016.05.009\n                    \n                  . \n                    http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0888327016300802","journal-title":"Mech Syst Signal Process"},{"key":"3597_CR14","doi-asserted-by":"publisher","first-page":"9799","DOI":"10.1016\/j.eswa.2009.02.040","volume":"36","author":"S Jothilakshmi","year":"2009","unstructured":"Jothilakshmi S, Ramalingam V, Palanivel S (2009) Unsupervised speaker segmentation with residual phase and MFCC features. Expert Syst Appl 36:9799\u20139804","journal-title":"Expert Syst Appl"},{"issue":"2, Part 1","key":"3597_CR15","doi-asserted-by":"publisher","first-page":"6128","DOI":"10.1016\/j.matpr.2017.12.219","volume":"5","author":"S Kumar","year":"2018","unstructured":"Kumar S, Goyal D, Dang RK, Dhami SS, Pabla BS (2018) Condition based maintenance of bearings and gears for fault detection \u2013 a review. Mater Today: Proc 5(2, Part 1):6128\u20136137. ISSN 2214-7853. \n                    https:\/\/doi.org\/10.1016\/j.matpr.2017.12.219\n                    \n                  . \n                    http:\/\/www.sciencedirect.com\/science\/article\/pii\/S2214785317332078\n                    \n                  . 7th International Conference of Materials Processing and Characterization","journal-title":"Mater Today: Proc"},{"issue":"2","key":"3597_CR16","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/j.ymssp.2012.12.014","volume":"38","author":"J Lin","year":"2013","unstructured":"Lin J, Chen Q (2013) Fault diagnosis of rolling bearings based on multifractal detrended fluctuation analysis and Mahalanobis distance criterion. Mech Syst Signal Process 38(2):515\u2013533. \n                    https:\/\/doi.org\/10.1016\/j.ymssp.2012.12.014","journal-title":"Mech Syst Signal Process"},{"key":"3597_CR17","unstructured":"Michie D, Spiegelhalter DJ, Taylor CC, Campbell J (eds) (1994) Machine learning, neural and statistical classification. Ellis Horwood, Upper Saddle River. ISBN 0-13-106360-X"},{"key":"3597_CR18","unstructured":"Muda L, Begam M, Elamvazuthi I (2010) Voice recognition algorithms using mel frequency cepstral coefficient (mfcc) and dynamic time warping (dtw) techniques. CoRR, arXiv:\n                    http:\/\/arXiv.org\/abs\/1003.4083\n                    \n                  . \n                    http:\/\/dblp.uni-trier.de\/db\/journals\/corr\/corr1003.html#abs-1003-4083"},{"key":"3597_CR19","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.procir.2016.09.033","volume":"59","author":"C Okoh","year":"2017","unstructured":"Okoh C, Roy R, Mehnen J (2017) Predictive maintenance modelling for through-life engineering services. Procedia CIRP 59:196\u2013201. ISSN 2212-8271. \n                    https:\/\/doi.org\/10.1016\/j.procir.2016.09.033\n                    \n                  . \n                    http:\/\/www.sciencedirect.com\/science\/article\/pii\/S2212827116309726\n                    \n                  . Proceedings of the 5th International Conference in Through-life Engineering Services Cranfield University, 1st and 2nd November 2016","journal-title":"Procedia CIRP"},{"key":"3597_CR20","doi-asserted-by":"publisher","DOI":"10.1201\/9781315218571","volume-title":"Transforms and applications primer for engineers with examples and MATLAB\u00ae. Electrical Engineering Primer Series","author":"AD Poularikas","year":"2010","unstructured":"Poularikas AD (2010) Transforms and applications primer for engineers with examples and MATLAB\u00ae;. Electrical Engineering Primer Series. CRC Press, Boca Raton. ISBN 9781420089325. \n                    https:\/\/books.google.pt\/books?id=fgrdgTm45X4C"},{"issue":"Complete","key":"3597_CR21","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1016\/j.triboint.2015.12.037","volume":"96","author":"Akhand Rai","year":"2016","unstructured":"Rai Akhand, Upadhyay SH (2016) A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings. Tribol Int 96(Complete):289\u2013306. \n                    https:\/\/doi.org\/10.1016\/j.triboint.2015.12.037","journal-title":"Tribol Int"},{"issue":"Complete","key":"3597_CR22","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.ymssp.2017.02.003","volume":"93","author":"Akhand Rai","year":"2017","unstructured":"Rai Akhand, Upadhyay SH (2017) Bearing performance degradation assessment based on a combination of empirical mode decomposition and k-medoids clustering. Mech Syst Signal Process 93(Complete):16\u201329. \n                    https:\/\/doi.org\/10.1016\/j.ymssp.2017.02.003","journal-title":"Mech Syst Signal Process"},{"issue":"1-2","key":"3597_CR23","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s10994-012-5279-6","volume":"88","author":"J Read","year":"2012","unstructured":"Read J, Bifet A, Holmes G, Pfahringer B (2012) Scalable and efficient multi-label classification for evolving data streams. Mach Learn 88(1-2):243\u2013272. ISSN 0885-6125","journal-title":"Mach Learn"},{"issue":"3","key":"3597_CR24","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1016\/S1665-6423(14)71620-7","volume":"12","author":"H Saruhan","year":"2014","unstructured":"Saruhan H, Sandemir S, \u00c7i\u00e7ek A, Uygur I (2014) Vibration analysis of rolling element bearings defects. J Appl Res Technol 12(3):384\u2013395. \n                    https:\/\/doi.org\/10.1016\/s1665-6423(14)71620-7","journal-title":"J Appl Res Technol"},{"key":"3597_CR25","unstructured":"Tabrizi AA, Garibaldi L, Fasana A, Marchesielo S (2014) Ensemble empirical mode decomposition (EEMD) and Teager-Kaiser Energy Operator (TKEO) based damage identification of roller bearings using one-class support vector machine. In: Cam VLx, Mevel L, Schoefs F (eds) EWSHM - 7th European Workshop on Structural Health Monitoring. \n                    https:\/\/hal.inria.fr\/hal-01022990\n                    \n                  . IFFSTTAR, Inria, Universit\u00e9 de Nantes, Nantes"},{"issue":"Complete","key":"3597_CR26","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.physa.2014.01.020","volume":"400","author":"Y-H Wang","year":"2014","unstructured":"Wang Y-H, Yeh C-H, Young H-WV, Hu K, Lo M-T (2014) On the computational complexity of the empirical mode decomposition algorithm. Physica A: Stat Mech Appl 400(Complete):159\u2013167. \n                    https:\/\/doi.org\/10.1016\/j.physa.2014.01.020","journal-title":"Physica A: Stat Mech Appl"},{"key":"3597_CR27","doi-asserted-by":"publisher","unstructured":"Zhou X, Garcia-Romero D, Duraiswami R, Espy-Wilson C, Shamma S (2011) Linear versus mel frequency cepstral coefficients for speaker recognition. In: 2011 IEEE Workshop on Automatic Speech Recognition Understanding, pp 559\u2013564. \n                    https:\/\/doi.org\/10.1109\/ASRU.2011.6163888","DOI":"10.1109\/ASRU.2011.6163888"}],"container-title":["The International Journal of Advanced Manufacturing Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00170-019-03597-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00170-019-03597-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00170-019-03597-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T23:18:47Z","timestamp":1587424727000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00170-019-03597-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,22]]},"references-count":27,"journal-issue":{"issue":"5-8","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["3597"],"URL":"https:\/\/doi.org\/10.1007\/s00170-019-03597-2","relation":{},"ISSN":["0268-3768","1433-3015"],"issn-type":[{"value":"0268-3768","type":"print"},{"value":"1433-3015","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,22]]},"assertion":[{"value":"9 October 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 March 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 April 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}