{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T00:08:24Z","timestamp":1758845304804},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T00:00:00Z","timestamp":1504051200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1007\/s00521-017-3169-3","type":"journal-article","created":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T14:11:40Z","timestamp":1504102300000},"page":"3211-3225","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Fault isolation in manufacturing systems based on learning algorithm and fuzzy rule selection"],"prefix":"10.1007","volume":"31","author":[{"given":"Imene","family":"Djelloul","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zaki","family":"Sari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehdi","family":"Souier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,8,30]]},"reference":[{"key":"3169_CR1","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1007\/s00170-013-4797-0","volume":"68","author":"Z Zhang","year":"2013","unstructured":"Zhang Z, Wang Y, Wang K (2013) Intelligent fault diagnosis and prognosis approach for rotating machinery integrating wavelet transform, principal component analysis, and artificial neural networks. Int J Adv Manuf Technol 68:763\u2013773","journal-title":"Int J Adv Manuf Technol"},{"key":"3169_CR2","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-12767-0","volume-title":"Fault-diagnosis applications: model-based condition monitoring: actuators, drives, machinery, plants, sensors, and fault-tolerant systems","author":"R Isermann","year":"2011","unstructured":"Isermann R (2011) Fault-diagnosis applications: model-based condition monitoring: actuators, drives, machinery, plants, sensors, and fault-tolerant systems. Springer, London"},{"key":"3169_CR3","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1007\/s12206-011-1216-z","volume":"26","author":"O Kadri","year":"2012","unstructured":"Kadri O, Mouss LH, Mouss MD (2012) Fault diagnosis of rotary kiln using SVM and binary ACO. J Mech Sci Technol 26:601\u2013608","journal-title":"J Mech Sci Technol"},{"key":"3169_CR4","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/s00521-008-0192-4","volume":"18","author":"H Wang","year":"2009","unstructured":"Wang H, Chen P (2009) Intelligent diagnosis method for a centrifugal pump using features of vibration signals. Neural Comput Appl 18:397\u2013405","journal-title":"Neural Comput Appl"},{"key":"3169_CR5","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1007\/s00521-009-0248-0","volume":"18","author":"Y Li","year":"2009","unstructured":"Li Y, Wang Z, Han X, Li Y (2009) High-voltage equipment condition monitoring and diagnosis system based on information fusion. Neural Comput Appl 18:447\u2013453","journal-title":"Neural Comput Appl"},{"issue":"Suppl 1","key":"3169_CR6","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1007\/s00521-012-0912-7","volume":"22","author":"HM Ertunc","year":"2013","unstructured":"Ertunc HM, Ocak H, Aliustaoglu C (2013) ANN- and ANFIS-based multi-staged decision algorithm for the detection and diagnosis of bearing faults. Neural Comput Appl 22(Suppl 1):435\u2013446","journal-title":"Neural Comput Appl"},{"key":"3169_CR7","doi-asserted-by":"publisher","first-page":"2183","DOI":"10.1080\/00207721.2013.859327","volume":"46","author":"M Fouladirada","year":"2013","unstructured":"Fouladirad M, Grall A (2013) Monitoring and condition-based maintenance with abrupt change in a system\u2019s deterioration rate. Int J Syst Sci 46:2183\u20132194","journal-title":"Int J Syst Sci"},{"key":"3169_CR8","first-page":"102","volume":"63","author":"I Djelloul","year":"2015","unstructured":"Djelloul I, Souier M, Sari Z (2015) fault diagnosis problem integrated with condition based maintenance strategy. Electroteh Electron Autom (EEA) 63:102\u2013109","journal-title":"Electroteh Electron Autom (EEA)"},{"key":"3169_CR9","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.ins.2012.07.015","volume":"235","author":"H Peng","year":"2013","unstructured":"Peng H, Wang J, Perez-Jimenez MJ, Wang H, Shao J, Wang T (2013) Fuzzy reasoning spiking neural P system for fault diagnosis. Inf Sci 235:106\u2013116","journal-title":"Inf Sci"},{"key":"3169_CR10","doi-asserted-by":"publisher","first-page":"994","DOI":"10.1109\/41.873207","volume":"47","author":"F Filippetti","year":"2000","unstructured":"Filippetti F, Franceschini G, Tassoni C (2000) Recent developments of induction motor drives fault diagnosis using AI techniques. IEEE Trans Ind Electron 47:994\u20131003","journal-title":"IEEE Trans Ind Electron"},{"key":"3169_CR11","doi-asserted-by":"crossref","unstructured":"Ruano A, Cabrita C, Oliveira J, Tikk D, Koczy L (2001) Supervised training algorithms for b-spline neural networks and fuzzy systems. In: IFSA world congress and 20th NAFIPS international conference, vol 5, pp 2830\u20132835","DOI":"10.1109\/NAFIPS.2001.943675"},{"key":"3169_CR12","first-page":"221","volume":"4","author":"P Yong","year":"2009","unstructured":"Yong P, Guo-Hua L (2009) A fuzzy optimization neural network model using second order information. Fuzzy Syst Knowl Discov 4:221\u2013227","journal-title":"Fuzzy Syst Knowl Discov"},{"key":"3169_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-016-2425-2","author":"RU Islam","year":"2016","unstructured":"Islam RU, Hossain MS, Andersson K (2016) A novel anomaly detection algorithm for sensor data under uncertainty. Soft Comput. doi: 10.1007\/s00500-016-2425-2","journal-title":"Soft Comput"},{"key":"3169_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/s12539-016-0172-9","author":"X Wang","year":"2016","unstructured":"Wang X, Du H, Tan J (2016) Online fault diagnosis for biochemical process based on FCM and SVM. Interdiscip Sci Comput Life Sci. doi: 10.1007\/s12539-016-0172-9","journal-title":"Interdiscip Sci Comput Life Sci"},{"key":"3169_CR15","doi-asserted-by":"publisher","first-page":"6612","DOI":"10.1080\/00207543.2012.662304","volume":"50","author":"L Wang","year":"2012","unstructured":"Wang L, Chan CY (2012) Formulation of a novel production line monitoring technique. Int J Prod Res 50:6612\u20136623","journal-title":"Int J Prod Res"},{"key":"3169_CR16","doi-asserted-by":"publisher","first-page":"3401","DOI":"10.1016\/j.patcog.2007.03.028","volume":"40","author":"E Zhou","year":"2007","unstructured":"Zhou E, Khotanzad A (2007) Fuzzy classifier design using genetic algorithms. Pattern Recogn 40:3401\u20133414","journal-title":"Pattern Recogn"},{"key":"3169_CR17","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1109\/91.413232","volume":"3","author":"H Ishibuchi","year":"1995","unstructured":"Ishibuchi H, Nozaki K, Yamamoto N, Tanaka H (1995) Selecting fuzzy if-then rules for classification problems using genetic algorithms. IEEE Trans Fuzzy Syst 3:260\u2013270","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"3169_CR18","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1007\/s10916-009-9301-x","volume":"34","author":"ML Huang","year":"2010","unstructured":"Huang ML, Hung YH, Chen WY (2010) Neural network classifier with entropy based feature selection on breast cancer diagnosis. J Med Syst 34:865\u2013873","journal-title":"J Med Syst"},{"key":"3169_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-017-0894-3","author":"F Barani","year":"2017","unstructured":"Barani F, Mirhosseini M, Nezamabadi-Pour H (2017) Application of binary quantum-inspired gravitational search algorithm in feature subset selection. Appl Intell. doi: 10.1007\/s10489-017-0894-3","journal-title":"Appl Intell"},{"key":"3169_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-015-1088-7","author":"D At-Kadi","year":"2015","unstructured":"At-Kadi D, Simeu-Abazi Z, Arous A (2015) Fault isolation by test scheduling for embedded systems using a probabilistic approach. J Intell Manuf. doi: 10.1007\/s10845-015-1088-7","journal-title":"J Intell Manuf"},{"key":"3169_CR21","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1090.001.0001","volume-title":"Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control and artificial intelligence","author":"JH Holland","year":"1992","unstructured":"Holland JH (1992) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control and artificial intelligence. MIT Press, Cambridge"},{"key":"3169_CR22","volume-title":"Classification and learning using genetic algorithms: application in bioinformatics and web intelligence","author":"B Sanghamitra","year":"2007","unstructured":"Sanghamitra B, Sankar KP (2007) Classification and learning using genetic algorithms: application in bioinformatics and web intelligence. Natural Computing Series, New Delhi"},{"key":"3169_CR23","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/S0165-0114(96)00098-X","volume":"89","author":"H Ishibuchi","year":"1997","unstructured":"Ishibuchi H, Murata T, Turksen IB (1997) Single-objective and two objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets Syst 89:135\u2013150","journal-title":"Fuzzy Sets Syst"},{"key":"3169_CR24","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1023\/B:FODM.0000022041.98349.12","volume":"3","author":"H Ishibuchi","year":"2004","unstructured":"Ishibuchi H, Murata T (2004) Comparison of heuristic criteria for Fuzzy rule selection in classification problems. Fuzzy Optim Decis Making 3:119\u2013139","journal-title":"Fuzzy Optim Decis Making"},{"key":"3169_CR25","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1007\/s10015-009-0700-3","volume":"14","author":"Y Nojima","year":"2009","unstructured":"Nojima Y, Ishibuchi H (2009) Incorporation of user preference into multi-objective genetic fuzzy rule selection for pattern classifi cation problems. Artif Life Robot 14:418\u2013421","journal-title":"Artif Life Robot"},{"key":"3169_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-010-0671-2","author":"R Alcal\u00e1","year":"2010","unstructured":"Alcal\u00e1 R, Nojima Y, Herrera F, Ishibuchi H (2010) Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions. Soft Comput. doi: 10.1007\/s00500-010-0671-2","journal-title":"Soft Comput"},{"key":"3169_CR27","doi-asserted-by":"crossref","unstructured":"Djelloul I, Souier M, Sari Z (2013) Neuro-fuzzy genetic algorithms for monitoring in a production system. In: IEEE international conference on systems and control, pp 12\u201317","DOI":"10.1109\/ICoSC.2013.6750828"},{"key":"3169_CR28","unstructured":"Asuncion A, Newman DJ (2007) UCI machine learning repository. http:\/\/mlearn.ics.uci.edu\/MLRepository.html"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3169-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-017-3169-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3169-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T09:43:59Z","timestamp":1692956639000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-017-3169-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,30]]},"references-count":28,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["3169"],"URL":"https:\/\/doi.org\/10.1007\/s00521-017-3169-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,30]]},"assertion":[{"value":"15 March 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 August 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"All authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}