{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T02:29:45Z","timestamp":1772677785061,"version":"3.50.1"},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1109\/cisp-bmei.2017.8302110","type":"proceedings-article","created":{"date-parts":[[2018,3,9]],"date-time":"2018-03-09T21:16:30Z","timestamp":1520630190000},"page":"1-5","source":"Crossref","is-referenced-by-count":4,"title":["Prediction of mechanical equipment vibration trend using autoregressive integrated moving average model"],"prefix":"10.1109","author":[{"given":"Yanming","family":"Yang","sequence":"first","affiliation":[]},{"given":"Weituan","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Lulu","family":"Sun","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"71","article-title":"Combining neural network model with seasonal time series ARIMA model","volume":"69 1","author":"fang mei","year":"2002","journal-title":"Technological Forecasting & Social Change"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s13198-016-0570-8"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5772\/50938"},{"key":"ref13","first-page":"1","article-title":"Selected Indian stock predictions using a hybrid ARIMA-GARCH model","author":"narendra","year":"2015","journal-title":"International Conference on Advances in Electronics Computers and Communications IEEE"},{"key":"ref14","first-page":"189","article-title":"Application of ARIMA Model in Short-Term Prediction of International Crude Oil Price","volume":"2","author":"ying","year":"2013","journal-title":"Advanced Materials Research 798&#x2013;799"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.epsr.2016.06.003","article-title":"ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation","volume":"140","author":"hadi","year":"2016","journal-title":"Electric Power Systems Research"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2015.07.017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2011.03.009"},{"key":"ref6","first-page":"791","article-title":"Support Vector Machine Enhanced Markov Model for Short TermWind Power Forecast","volume":"6 3","author":"lei","year":"2014","journal-title":"IEEE Transactions on Sustainable Energy"},{"key":"ref5","first-page":"383","article-title":"Cash demand forecasting in ATMs by clustering and neural metworks","volume":"232 2","author":"kamini","year":"2014","journal-title":"European Journal of Operational Research"},{"key":"ref8","first-page":"1398","article-title":"Drought forecasting based on the remote sensing data using ARIMA models","volume":"51 11","author":"ping","year":"2010","journal-title":"International Journal of Mathematical and Computer Modelling"},{"key":"ref7","first-page":"59","article-title":"A New Hybrid Model for Improvement of ARIMA by DEA","volume":"1 2","author":"reza","year":"2012","journal-title":"Decision Science Letters"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.ssci.2016.05.015","article-title":"The accident early warning system for iron and steel enterprises based on combination weighting and Grey Prediction Model GM (1, 1)","volume":"89","author":"cuiping","year":"2016","journal-title":"Safety Science"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"4003","DOI":"10.12988\/ams.2013.33149","article-title":"Electricity Load Forecasting in UTP using Moving Averages and Exponential Smoothing Techniques","volume":"7","author":"abdul","year":"2013","journal-title":"Applied Mathematical Sciences"},{"key":"ref9","first-page":"1","article-title":"Selected Indian stock predictions using a hybrid ARIMA-GARCH model","author":"narendra","year":"2015","journal-title":"International Conference on Advances in Electronics Computers and Communications IEEE"}],"event":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","location":"Shanghai","start":{"date-parts":[[2017,10,14]]},"end":{"date-parts":[[2017,10,16]]}},"container-title":["2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8293044\/8301897\/08302110.pdf?arnumber=8302110","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T16:30:40Z","timestamp":1570897840000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8302110\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/cisp-bmei.2017.8302110","relation":{},"subject":[],"published":{"date-parts":[[2017,10]]}}}