Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An optimized back propagation neural network for automated evaluation of health condition using sensor data Subject The topic of the resource Condition monitoring; Fault prediction; Fish swarm algorithm; Health status assessment; Machine learning; Optimized back propagation neural network Description An account of the resource Ships and other large equipment must meet strict standards for equipment integrity and operational dependability in order to perform missions. To meet this demand, one of the essential linkages is to guarantee the long-term safe and healthy functioning of their power transmission equipment. The Optimized Back Propagation Neural Network (OBPNN) technique used in this study introduces a unique method for monitoring sensor data and evaluating the health state, with the SVM being optimized using the fish swarm algorithm (FSA). A major problem that maintenance is facing nowadays is reliable fault prediction. One of the trickiest difficulties is arguably automatically modelling typical behaviour from condition monitoring data, particularly when there is little information about actual failures. A data-driven learning framework with the best bandwidth selection is suggested to address this challenge. It is based on nonparametric density estimation for outlier identification and OBPNN for normality modelling. The distance to the separating hyper plane's log-normalization is used to provide a health score that is also available. The algorithm's viability is shown by experimental findings while evaluating the progression of a major defect over time in a marine diesel engine. Improved prediction capabilities and low false positive rates on healthy data are realized. 2023 The Authors Creator An entity primarily responsible for making the resource Mandala V.; Senthilnathan T.; Suganyadevi S.; Gobhinath S.; Selvaraj D.; Dhanapal R. Source A related resource from which the described resource is derived Measurement: Sensors, Vol-29 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.measen.2023.100846" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.measen.2023.100846</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166478853&amp;doi=10.1016%2Fj.measen.2023.100846&amp;partnerID=40&amp;md5=bf195a640b5af570deeb150754c18f06" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166478853&amp;doi=10.1016%2fj.measen.2023.100846&amp;partnerID=40&amp;md5=bf195a640b5af570deeb150754c18f06</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 26659174 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mandala V., Enterprise Architect, Student in Indiana University, MS in Data Science, IU Bloomington, 107 S. Indiana Avenue, Bloomington, 47405, IN, United States; Senthilnathan T., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, _29, India; Suganyadevi S., Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, India; Gobhinath S., Department of Electrical and Electronics Engineering, Dr.N.G.P. Institute of Technology, Coimbatore, India; Selvaraj D., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, 641202, India; Dhanapal R., Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Tamilnadu, Coimbatore, India