{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:31:31Z","timestamp":1742916691837,"version":"3.40.3"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030821982"},{"type":"electronic","value":"9783030821999"}],"license":[{"start":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T00:00:00Z","timestamp":1628294400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T00:00:00Z","timestamp":1628294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-82199-9_59","type":"book-chapter","created":{"date-parts":[[2021,11,10]],"date-time":"2021-11-10T09:02:45Z","timestamp":1636534965000},"page":"866-876","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Neuro-Fuzzy Model for Fault Detection, Prediction and Analysis for a Petroleum Refinery"],"prefix":"10.1007","author":[{"given":"Peter","family":"Omoarebun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Sanders","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Favour","family":"Ikwan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Malik","family":"Haddad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giles","family":"Tewkesbury","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Hassan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,7]]},"reference":[{"issue":"3","key":"59_CR1","first-page":"471","volume":"9","author":"J Patton","year":"1999","unstructured":"Patton, J., Lopez-Toribio, C., Uppal, F.: Artificial Intelligence Approaches to fault diagnosis for dynamic systems. J. Appl. Math. Comput. Sci. 9(3), 471\u2013518 (1999)","journal-title":"J. Appl. Math. Comput. Sci."},{"issue":"3","key":"59_CR2","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/0005-1098(90)90018-D","volume":"26","author":"P Frank","year":"1990","unstructured":"Frank, P.: Fault diagnosis in dynamic systems using analytical and knowledge based redundancy-a survey and some new results. Automatica 26(3), 459\u2013474 (1990)","journal-title":"Automatica"},{"key":"59_CR3","unstructured":"Patton, R.., Frank, P., Clark, R.: Fault Diagnosis in Dynamic Systems: Theory and Application. Prentice Hall N (1989)"},{"issue":"3","key":"59_CR4","first-page":"104","volume":"7","author":"D Sanders","year":"2004","unstructured":"Sanders, D.: Intelligent knowledge-based system for electrical fault diagnosis in a vehicle. J. Intell. Mobil. 7(3), 104\u2013110 (2004)","journal-title":"J. Intell. Mobil."},{"issue":"1","key":"59_CR5","first-page":"259","volume":"9","author":"J Gertler","year":"1993","unstructured":"Gertler, J.: Residual generation in model-based fault diagnosis. Control - Theory Adv. Technol. 9(1), 259\u2013285 (1993)","journal-title":"Control - Theory Adv. Technol."},{"issue":"2","key":"59_CR6","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1177\/014233129501700203","volume":"17","author":"R Patton","year":"1995","unstructured":"Patton, R., Chen, J., Nielsen, S.: Model-based methods for fault diagnosis: some guide-lines. Trans. Inst. Measur. Control (Trans. Inst. MC) 17(2), 73\u201383 (1995)","journal-title":"Trans. Inst. Measur. Control (Trans. Inst. MC)"},{"key":"59_CR7","doi-asserted-by":"crossref","unstructured":"Patton, R., Chen, J.: Robust fault detection and isolation (FDI) systems. In: Leondes, C.T., (ed.) Techniques in Discrete and Continuous Robust Systems, Dynamics & Control Series 74, pp. 171\u2013224, Academic Press (1996)","DOI":"10.1016\/S0090-5267(96)80065-X"},{"key":"59_CR8","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1109\/37.55124","volume":"10","author":"S Naidu","year":"1990","unstructured":"Naidu, S., Zafirou, E., McAvoy, T.: Use of neural-networks for failure detection in a control system. IEEE Control Sys. Magazine 10, 49\u201355 (1990)","journal-title":"IEEE Control Sys. Magazine"},{"issue":"9","key":"59_CR9","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1016\/0098-1354(88)87015-7","volume":"12","author":"J Hoskins","year":"1988","unstructured":"Hoskins, J., Himmelblau, D.: Artificial neural network models of knowledge representation in chemical engineering. Comput. Chem. Eng. 12(9), 881\u2013890 (1988)","journal-title":"Comput. Chem. Eng."},{"key":"59_CR10","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/64.207428","volume":"3","author":"J Leonard","year":"1993","unstructured":"Leonard, J., Kramer, M.: Diagnosing dynamic faults using modular neural-nets. IEEE Expert Magazine 3, 44\u201353 (1993)","journal-title":"IEEE Expert Magazine"},{"key":"59_CR11","unstructured":"Patton, R., Chen, J.: Neural networks in nonlinear dynamic systems fault diagnosis. Engineering Simulation (special issue on \u201cEngineering Diagnostics\u201d) 13(6), 905\u2013924 (1996)"},{"key":"59_CR12","doi-asserted-by":"crossref","unstructured":"Wang, H., Brown, M., Harris, C.: Fault detection for a class of unknown non-linear systems via associative memory networks. Proc. IMechE: J. Sys. Contr. Eng. 208, 101\u2013107 (1994)","DOI":"10.1243\/PIME_PROC_1994_208_314_02"},{"issue":"10","key":"59_CR13","doi-asserted-by":"publisher","first-page":"1935","DOI":"10.1080\/00207729308949605","volume":"24","author":"P Frank","year":"1993","unstructured":"Frank, P.: Kuipel: fuzzy supervision and application to lean production. Int. J. Sys. Sci. 24(10), 1935\u20131944 (1993)","journal-title":"Int. J. Sys. Sci."},{"key":"59_CR14","doi-asserted-by":"crossref","unstructured":"Isermann, R., Ulieru, M.: Integrated fault detection and diagnosis. In: Proceedings of the 1993 IEEE Conference on Systems, Man & Cybernetics, Le Touquet, France, pp. 743\u2013748 (1993)","DOI":"10.1109\/ICSMC.1993.384833"},{"issue":"6","key":"59_CR15","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1049\/ip-cta:19952089","volume":"142","author":"A Dexter","year":"1995","unstructured":"Dexter, A.: Fuzzy model based fault diagnosis. IEE Proc. Control Theory Appl. 142(6), 545\u2013550 (1995)","journal-title":"IEE Proc. Control Theory Appl."},{"key":"59_CR16","unstructured":"Omoarebun, P.: Disaster risk reduction in petroleum engineering. J. Comput. Syst. Eng. (2018)"},{"key":"59_CR17","unstructured":"Ikwan, F.: Reducing energy losses and alleviating risk in petroleum engineering using decision making and alarm systems. J. Comput. Syst. Eng. (2018)"},{"key":"59_CR18","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/0165-0114(94)00277-E","volume":"71","author":"J Shann","year":"1995","unstructured":"Shann, J., Fu, H.: A fuzzy neural network for rule acquiring on fuzzy control systems. Fuzzy Sets Syst. 71, 345\u2013357 (1995)","journal-title":"Fuzzy Sets Syst."},{"key":"59_CR19","doi-asserted-by":"crossref","unstructured":"Omoarebun, P., Sanders, D., Haddad, M., Hassan, M., Tewkesbury, G., Giasin, K.: An intelligent monitoring system for a crude oil distillation column. In: 2020 IEEE 10th International Conference on Intelligent Systems (IS), pp. 159\u2013164. IEEE (2020)","DOI":"10.1109\/IS48319.2020.9200175"},{"issue":"1","key":"59_CR20","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/TSMC.1973.5408575","volume":"3","author":"L Zadeh","year":"1973","unstructured":"Zadeh, L.: Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. Syst. Man Cybern. 3(1), 28\u201344 (1973)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"59_CR21","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1007\/978-3-030-29516-5_50","volume-title":"Intelligent Systems and Applications","author":"D Sanders","year":"2020","unstructured":"Sanders, D., Okono, O., Langner, M., Hassan, M., Khaustov, S., Omoarebun, P.: Using a simple expert system to assist a powered wheelchair user. In: Bi, Y., Bhatia, R., Kapoor, S. (eds.) IntelliSys 2019. AISC, vol. 1037, pp. 662\u2013679. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-29516-5_50"},{"key":"59_CR22","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1007\/978-3-030-55190-2_42","volume-title":"Intelligent Systems and Applications","author":"D Sanders","year":"2021","unstructured":"Sanders, D., et al.: Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) IntelliSys 2020. AISC, vol. 1252, pp. 571\u2013583. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-55190-2_42"},{"key":"59_CR23","doi-asserted-by":"crossref","unstructured":"Sanders, D., Haddad, M., Tewkesbury, G.E., Thabet, M., Omoarebun, P., Barker, T.: Simple expert system for intelligent control and HCI for a wheelchair fitted with ultrasonic sensors. In: 2020 IEEE 10th International Conference on Intelligent Systems (IS), pp. 211\u2013216. IEEE (2020)","DOI":"10.1109\/IS48319.2020.9200098"},{"key":"59_CR24","doi-asserted-by":"publisher","unstructured":"Omoarebun, P., et al.: Intelligent monitoring using hazard identification technique and multi-sensor data fusion for crude oil distillation column. In: IntelliSys 2020. Advances in Intelligent Systems and Computing, vol. 1252. Springer, Cham, pp. 727\u2013741 (2020). doi: https:\/\/doi.org\/10.1007\/978-3-030-55190-2_61","DOI":"10.1007\/978-3-030-55190-2_61"},{"issue":"1","key":"59_CR25","first-page":"1","volume":"13","author":"M Haddad","year":"2021","unstructured":"Haddad, M., Sanders, D., Tewkesbury, G., Bausch, N.: Integrating statistical correlation with discrete multi-criteria decision making. Int. J. Inf. Decis. Sci. 13(1), 1\u201315 (2021)","journal-title":"Int. J. Inf. Decis. Sci."},{"key":"59_CR26","doi-asserted-by":"crossref","unstructured":"Sanders, D., Haddad, M., Tewkesbury, G., Barker, T., Langner, M., Gegov, A.: Intelligent assistive systems for the control and analysis of reaction times for a smart wheelchair. Advances in Intelligent Systems Research and Innovation. Studies in Systems, Decision and Control. Springer (2021)","DOI":"10.1007\/978-3-030-78124-8_9"},{"issue":"12","key":"59_CR27","doi-asserted-by":"publisher","first-page":"2987","DOI":"10.1109\/TNSRE.2020.3031468","volume":"28","author":"M Haddad","year":"2020","unstructured":"Haddad, M., Sanders, D.: Deep Learning architecture to assist with steering a powered wheelchair. IEEE Trans. Neural Syst. Rehabil. Eng. 28(12), 2987\u20132994 (2020)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"59_CR28","doi-asserted-by":"crossref","unstructured":"Ikwan, F.C., Sanders, D., Haddad, M.: A Combined AHP-PROMETHEE Approach for Intelligent Risk Prediction of Leak in a Storage Tank. Int. J. Reliability Risk Safety (2020)","DOI":"10.30699\/IJRRS.3.2.7"},{"key":"59_CR29","doi-asserted-by":"crossref","unstructured":"Thabet, M., Sanders, D., Tewkesbury, G., Becerra, V.: Intelligent energy management of compressed air systems. In: 2020 IEEE 10th International Conference on Intelligent Systems (IS). IEEE IS Proceedings Series, pp. 153\u2013158 (2020)","DOI":"10.1109\/IS48319.2020.9199977"},{"key":"59_CR30","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1007\/978-3-030-55190-2_16","volume-title":"Intelligent Systems and Applications","author":"M Thabet","year":"2021","unstructured":"Thabet, M., et al.: Management of compressed air to reduce energy consumption using intelligent systems. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) IntelliSys 2020. AISC, vol. 1252, pp. 206\u2013217. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-55190-2_16"},{"key":"59_CR31","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1007\/978-3-030-55190-2_46","volume-title":"Intelligent Systems and Applications","author":"M Haddad","year":"2021","unstructured":"Haddad, M., et al.: Use of the analytical hierarchy process to determine the steering direction for a powered wheelchair. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) IntelliSys 2020. AISC, vol. 1252, pp. 617\u2013630. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-55190-2_46"},{"issue":"6","key":"59_CR32","doi-asserted-by":"publisher","first-page":"180","DOI":"10.14738\/abr.86.8202","volume":"8","author":"M Haddad","year":"2020","unstructured":"Haddad, M., Sanders, D.: Artificial Neural Network approach for business decision making applied to a corporate relocation problem. Arch. Bus. Res. 8(6), 180\u2013195 (2020)","journal-title":"Arch. Bus. Res."},{"key":"59_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.tra.2020.01.026","volume":"134","author":"M Haddad","year":"2020","unstructured":"Haddad, M., Sanders, D., Tewkesbury, G.: Selecting a discrete multiple criteria decision making method for Boeing to rank four global market regions. Transp. Res. Part A Policy Pract. 134, 1\u201315 (2020)","journal-title":"Transp. Res. Part A Policy Pract."}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-82199-9_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T21:46:07Z","timestamp":1726091167000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-82199-9_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,7]]},"ISBN":["9783030821982","9783030821999"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-82199-9_59","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2021,8,7]]},"assertion":[{"value":"7 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IntelliSys","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Proceedings of SAI Intelligent Systems Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intellisys2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/saiconference.com\/IntelliSys","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}