{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:55:40Z","timestamp":1774540540115,"version":"3.50.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100005090","name":"Beijing Nova Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005090","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003213","name":"Beijing Municipal Education Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003213","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1109\/safeprocess58597.2023.10295887","type":"proceedings-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T17:47:19Z","timestamp":1699033639000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Intelligent Early Warning of Municipal Wastewater Lifting Pump Based on Fuzzy Neural Network"],"prefix":"10.1109","author":[{"given":"Guoqing","family":"Zhao","sequence":"first","affiliation":[{"name":"Beijing University of Technique,Beijing Drainage Group Co., Ltd.,Beijing,China,100124"}]},{"given":"Wenjia","family":"Huang","sequence":"additional","affiliation":[{"name":"Beijing University of Technique,Beijing Drainage Group Co., Ltd.,Beijing,China,100124"}]},{"given":"Hongyan","family":"Yang","sequence":"additional","affiliation":[{"name":"Beijing University of Technique,Faculty of Information Technique, Engineering Research Center of Digital Community, Ministry of Education,Beijing,China,100124"}]},{"given":"Honggui","family":"Han","sequence":"additional","affiliation":[{"name":"Beijing University of Technique,Faculty of Information Technique, Engineering Research Center of Digital Community, Ministry of Education,Beijing,China,100124"}]},{"given":"Zheng","family":"He","sequence":"additional","affiliation":[{"name":"Beijing University of Technique,Beijing Drainage Group Co., Ltd.,Beijing,China,100124"}]}],"member":"263","reference":[{"key":"ref13","first-page":"41","article-title":"Early fault diagnosis method of check valve based on mean spread negative entropy information graph","volume":"2022","author":"feng","year":"0","journal-title":"Journal of Vibration and Shock"},{"key":"ref12","first-page":"137","article-title":"Research on vibration warning method of feed pump based on PCA-KNN","volume":"49","author":"wu","year":"2022","journal-title":"Chemical Machinery"},{"key":"ref15","first-page":"72","article-title":"Fault diagnosis of mud pump bearing","volume":"26","author":"fan","year":"2011","journal-title":"Journal of Xi'an Shiyou University(Natural Science Edition)"},{"key":"ref14","first-page":"3","article-title":"Research on Rolling bearing condition Monitoring based on impact pulse method","volume":"2013","author":"xue","year":"0","journal-title":"Coal Engineering"},{"key":"ref20","article-title":"Multi-source fault signal fusion diagnosis of hydraulic pump based on PSO-BP and D-S evidence","author":"cui","year":"2022","journal-title":"Mechanical Design and Research"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.ifacol.2020.11.020","article-title":"A comparison of machine learning techniques for LNG pumps fault prediction in regasification plants","volume":"53","author":"la","year":"2020","journal-title":"IFAC Papers Online"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.2965884"},{"key":"ref10","first-page":"117","article-title":"Resonance demodulation technique is used for early fault diagnosis of rolling bearings","volume":"2018","author":"zheng","year":"0","journal-title":"Maintenance Management for Medical Equipment"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3004659"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1007\/s11431-016-0237-8","article-title":"Numerical simulation of air entrainment and suppression in pump sump","volume":"59","author":"dong","year":"2016","journal-title":"Science in China (Technological Sciences)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2021.3085697"},{"key":"ref17","first-page":"10","article-title":"Research on Fault diagnosis of hydraulic pump based on neural network and evidence fusion","volume":"40","author":"zhu","year":"2021","journal-title":"Mechatronics Engineering"},{"key":"ref16","first-page":"10","article-title":"Fault diagnosis of sea water pump based on parameter transfer and one-dimensional convolutional neural network","volume":"40","author":"cui","year":"2021","journal-title":"Journal of Vibration and Shock"},{"key":"ref19","first-page":"7","article-title":"Cavitation fault diagnosis of high-speed axial piston pump based on spectrum analysis and convolutional neural network","volume":"45","author":"wei","year":"2021","journal-title":"Chinese Hydraulics and Pneumatics"},{"key":"ref18","article-title":"Research on intelligent early warning and diagnosis technique of offshore centrifugal pump based on neural network","author":"qin","year":"2022","journal-title":"Machine Building & Automation"},{"key":"ref8","first-page":"59","article-title":"Vibration-Based Fault Diagnosis of Hydraulic Pump of Tractor Steering System by Using Energy Technique","volume":"3","author":"kaveh","year":"2009","journal-title":"Modern Applied Science"},{"key":"ref7","first-page":"53","article-title":"Fault Warning of Condensate Pump Based on LSTM Network","volume":"36","author":"ming","year":"2021","journal-title":"Journal of Beijing University of Information Science and Technique Natural Science"},{"key":"ref9","first-page":"92","article-title":"Analysis of vibration features of centrifugal pump under cavitation erosion of impeller","volume":"39","author":"gong","year":"2020","journal-title":"Vibration and shock"},{"key":"ref4","first-page":"86","article-title":"Hydraulic pump leakage state identification based on deep neural network","volume":"41","author":"chen","year":"2020","journal-title":"Chinese Journal of Scientific Instrument"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11433-013-5211-5"},{"key":"ref6","first-page":"163","article-title":"Fault diagnosis of hydraulic pump based on empirical wavelet decomposition and convolutional neural network","volume":"2020","author":"du","year":"0","journal-title":"Chinese Hydraulics and Pneumatics"},{"key":"ref5","first-page":"38","article-title":"Fault diagnosis method of submersible wastewater pump based on improved Hopfield neural network","volume":"44","author":"wang","year":"2022","journal-title":"J Mech Strength"}],"event":{"name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","location":"Yibin, China","start":{"date-parts":[[2023,9,22]]},"end":{"date-parts":[[2023,9,24]]}},"container-title":["2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10295546\/10295577\/10295887.pdf?arnumber=10295887","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:29:25Z","timestamp":1701113365000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10295887\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/safeprocess58597.2023.10295887","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]}}}