{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T14:39:38Z","timestamp":1743086378580,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":11,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819990047"},{"type":"electronic","value":"9789819990054"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-99-9005-4_34","type":"book-chapter","created":{"date-parts":[[2024,3,30]],"date-time":"2024-03-30T16:02:03Z","timestamp":1711814523000},"page":"269-276","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhancement of Adaptive Observer for Fault Detection in Direct Current Motor System Using Kalman Filter"],"prefix":"10.1007","author":[{"given":"Nur Dalilah","family":"Alias","sequence":"first","affiliation":[]},{"given":"Rosmiwati Mohd","family":"Mokhtar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,31]]},"reference":[{"key":"34_CR1","volume-title":"Fault detection and diagnosis in engineering systems","author":"J Gertler","year":"2019","unstructured":"Gertler J (2019) Fault detection and diagnosis in engineering systems. CRC Press, New York"},{"key":"34_CR2","unstructured":"Joshi B, Shrestha R, Chaudhar R (2014) Modeling, simulation and implementation of brushed dc motor speed control using optical incremental encoder feedback. In: Proceedings of IOE graduate conference, 10\u201311 Oct 2014, pp 497\u2013505"},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Adouni A, Abid A, Sbita L (2016) A dc motor fault detection, isolation and identification based on a new architecture artificial neural network. In: 2016 5th international conference on systems and control (ICSC), Marrakesh, Morocco, pp 294\u2013299","DOI":"10.1109\/ICoSC.2016.7507054"},{"key":"34_CR4","doi-asserted-by":"crossref","unstructured":"Lee J, Mohd-Mokhtar R, Mahyuddin MN (2020) Adaptive observer for dc motor fault detection dynamical system. In: Zain M et al (eds) Proceedings of the 11th national technical seminar on unmanned system technology. Lecture notes in electrical engineering, vol 666, pp 285\u2013297","DOI":"10.1007\/978-981-15-5281-6_20"},{"key":"34_CR5","doi-asserted-by":"crossref","unstructured":"Park YJ, Fan SKS, Hsu CY (2020) A review on fault detection and process diagnostics in industrial processes. Processes 8(9)","DOI":"10.3390\/pr8091123"},{"issue":"1","key":"34_CR6","doi-asserted-by":"publisher","first-page":"53","DOI":"10.47836\/pjst.30.1.04","volume":"30","author":"M Ahmad","year":"2021","unstructured":"Ahmad M, Mohd-Mokhtar R (2021) A survey on model-based fault detection techniques for linear time-invariant systems with numerical analysis. Pertanika J Sci Technol 30(1):53\u201378","journal-title":"Pertanika J Sci Technol"},{"key":"34_CR7","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/j.isatra.2016.11.005","volume":"67","author":"A Abbaspour","year":"2017","unstructured":"Abbaspour A, Aboutalebi P, Yen KK, Sargolzaei A (2017) Neural adaptive observer-based sensor and actuator fault detection in nonlinear systems: application in UAV. ISA Trans 67:317\u2013329","journal-title":"ISA Trans"},{"key":"34_CR8","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/j.automatica.2018.03.075","volume":"93","author":"Q Zhang","year":"2018","unstructured":"Zhang Q (2018) Adaptive Kalman filter for actuator fault diagnosis. Automatica 93:333\u2013342","journal-title":"Automatica"},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"Ma\u2019arif A, \u00c7akan A (2021) Simulation and Arduino hardware implementation of dc motor control using sliding mode controller. J Robot Control (JRC) 2(6):582\u2013587","DOI":"10.18196\/jrc.26140"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Ding Q, Peng X, Zhang X, Hu X, Zhong X (2017) Adaptive observer-based fault diagnosis for sensor in a class of MIMO nonlinear system. In: 36th Chinese control conference, pp 7051\u20137058","DOI":"10.23919\/ChiCC.2017.8028467"},{"key":"34_CR11","unstructured":"Cui W (2018) Kalman filter based fault detection and diagnosis. M.Eng. thesis. Flinders University"}],"container-title":["Lecture Notes in Electrical Engineering","Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-9005-4_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,30]],"date-time":"2024-03-30T16:04:48Z","timestamp":1711814688000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-9005-4_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819990047","9789819990054"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-9005-4_34","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"31 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RoViSP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Robotics, Vision, Signal Processing and Power Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 April 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rovisp2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}