01222nam 2200397 450 991014859310332120230808200217.01-4555-3779-91-4555-9517-9(CKB)3710000000921807(MiAaPQ)EBC5368127(EXLCZ)99371000000092180720180611d2016 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierABCs of Christianity an outline for living in the "now" and relating to God /Terdema UsseryFirst edition.New York, NY :Faith Words,2016.1 online resource (xiv, 154 pages)1-4555-3780-2 Christian lifeBiblical teachingMiscellaneaChristian lifeBiblical teachingfast(OCoLC)fst00859187Christian lifeBiblical teachingChristian lifeBiblical teaching.220Ussery Terdema1216734MiAaPQMiAaPQMiAaPQBOOK9910148593103321ABCs of Christianity2813296UNINA00675nam 2200241zu 450 991080589860332120240709132917.097829058381322-905838-14-0(PPN)276244303(CKB)30271126200041(EXLCZ)993027112620004120240207|1988uuuu || |engur|||||||||||Défense et illustration de l’ÉgyptienneCEDEJ - Égypte/Soudan19882-905838-13-2 Fenoglio-Abd El Aal1592476BOOK9910805898603321Défense et illustration de l’Égyptienne3910304UNINA03083nam 22006733 450 991052009900332120250628110032.0981-16-8044-2(CKB)5340000000068900(MiAaPQ)EBC6840160(Au-PeEL)EBL6840160(OCoLC)1292353116(oapen)https://directory.doabooks.org/handle/20.500.12854/77320(PPN)262175452(ODN)ODN0010067830(oapen)doab77320(EXLCZ)99534000000006890020220207d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData-Driven Fault Detection and Reasoning for Industrial MonitoringSpringer Nature2022Singapore :Springer Singapore Pte. Limited,2022.©2022.1 online resource (277 pages)Intelligent Control and Learning Systems ;v.3981-16-8043-4 This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications. This is an open access book.Intelligent Control and Learning SystemsRoboticsbicsscArtificial intelligencebicsscMultivariate causality analysisProcess monitoringManifold learningFault diagnosisData modelingFault classificationFault reasoningCausal networkProbabilistic graphical modelData-driven methodsIndustrial monitoringOpen AccessRoboticsArtificial intelligenceTEC009000TEC037000bisacshWang Jing1974 April 21-1380923Zhou Jinglin1076407Chen Xiaolu1076408MiAaPQMiAaPQMiAaPQBOOK9910520099003321Data-Driven Fault Detection and Reasoning for Industrial Monitoring3423101UNINA