Academic literature on the topic 'Diagnosis of the building'
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Journal articles on the topic "Diagnosis of the building"
Mohammed, Bukar, Zanna Ali, Ibrahim Ahmed, and Mohammed Adamu. "BUILDING CONDITION SURVEY AND SYSTEMATIC DEFECTS DIAGNOSIS ON LIBRARY BUILDING IN NIGERIA." International Journal of Innovative Research in Education, Technology & Social Strategies 8, no. 1 (March 25, 2021): 76–84. http://dx.doi.org/10.48028/iiprds/ijiretss.v8.i1.08.
Full textYuan, Shuang, Zhen-Zhong Hu, Jia-Rui Lin, and Yun-Yi Zhang. "A Framework for the Automatic Integration and Diagnosis of Building Energy Consumption Data." Sensors 21, no. 4 (February 17, 2021): 1395. http://dx.doi.org/10.3390/s21041395.
Full textAl-Makhadmee, Zafer. "Diagnosis System for Building Management Network." Research Journal of Applied Sciences, Engineering and Technology 6, no. 23 (December 15, 2013): 4451–54. http://dx.doi.org/10.19026/rjaset.6.3450.
Full textLo, Tommy Y., and K. T. W. Choi. "Building defects diagnosis by infrared thermography." Structural Survey 22, no. 5 (December 2004): 259–63. http://dx.doi.org/10.1108/02630800410571571.
Full textBernard, Rosanne St, and Cyrus C. Hsia. "Building bridges to diagnosis and malignancy." Blood 124, no. 11 (September 11, 2014): 1843. http://dx.doi.org/10.1182/blood-2014-06-581983.
Full textWang, Yanwei, Hanyuan Zhang, Guiqing Zhang, Feng Tian, and Fei Ren. "Application of Improved Apriori Algorithm in Diagnosis of Abnormal Building Energy Consumption." E3S Web of Conferences 257 (2021): 02060. http://dx.doi.org/10.1051/e3sconf/202125702060.
Full textBalado, J., L. Díaz-Vilariño, P. Arias, and M. Soilán. "Automatic building accessibility diagnosis from point clouds." Automation in Construction 82 (October 2017): 103–11. http://dx.doi.org/10.1016/j.autcon.2017.06.026.
Full textWatts, Brook, Pushkar Argekar, Sanjay Saint, and Carol A. Kauffman. "Building a Diagnosis from the Ground Up." New England Journal of Medicine 356, no. 14 (April 5, 2007): 1456–62. http://dx.doi.org/10.1056/nejmcps055322.
Full textPratiwi, S. N., P. Wijayanto, and C. A. Putri. "Diagnosis of capillary rise in heritage building." IOP Conference Series: Earth and Environmental Science 780, no. 1 (May 1, 2021): 012076. http://dx.doi.org/10.1088/1755-1315/780/1/012076.
Full textZhou, Lu, Guang-geng Li, Yu-mei Zhou, Dan Yin, Yan Sun, Yan Zheng, and Yu-hang Li. "Traditional Chinese Medicine (TCM) Diagnosis Model Building Based on Multi-label Classification." MATEC Web of Conferences 232 (2018): 02026. http://dx.doi.org/10.1051/matecconf/201823202026.
Full textDissertations / Theses on the topic "Diagnosis of the building"
Zhong, Binglin. "Model building and machine fault diagnosis." Thesis, Cardiff University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340889.
Full textShi, Hongsen. "Building Energy Efficiency Improvement and Thermal Comfort Diagnosis." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555110595177379.
Full textYang, Yingying. "Innovative non-destructive methodology for energy diagnosis of building envelope." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0913/document.
Full textBuildings represent a large share in terms of energy consumption, such as 35% in the member countries of IEA (2010) and 39.8% in U.S. (2015). Climate controlling (space heating and space cooling) occupies more than half of the consumption. While this consumption can be reduced by improving the building energy efficiency, in which the thermal performance of building envelope plays a critical role. Therefore, the thermal diagnosis of building envelope is of great important, for example, in the case of new building accreditation, retrofitting energy efficiency of old building and the building resale and renting. However, very few diagnostic methods exist for the characterization of thick walls. The present measurement standards that based on steady state heat transfer regime need a long time (several days). The classical transient technologies, such as flash method, are difficult to implement on the walls because of the large thickness of walls and the complex conditions in situ. This thesis aims to explore innovative methodologies for thermal quantitative diagnosis of building envelope. Two experimental cases were carried out: one is in laboratory (IFSTTAR, Nantes) and the other is in situ (IUT, Bordeaux). Different sensors and instruments were studied to measure the wall heat flux and surface temperature, and provided some guidelines for the choice of sensors and data processing protocols as well. Using these measured data, three estimation approaches were proposed to estimate the thermal parameters of the multilayer thick wall: pulse response curve method, step response curve method and inverse method, which can be applied for different diagnostic situations. In addition, an innovative NDE (non-destructive evaluation) method using terahertz (THz) radiation was also investigated. Measurements were carried out in I2M laboratory to characterize the absorption coefficient of standard building materials (insulation, plaster, concrete, wood ...). This THz method can be combined with a previous thermal method to provide some complementary information
Guan, Qiang. "Autonomic Failure Identification and Diagnosis for Building Dependable Cloud Computing Systems." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc499993/.
Full textDe, Waard Simon Rudi. "Fault identification and diagnosis for telephone exchange building facilities / S.R. de Waard." Thesis, North-West University, 2005. http://hdl.handle.net/10394/1058.
Full textThesis (M.Ing. (Computer and Electronical Engineering))--North-West University, Potchefstroom Campus, 2005.
Gao, Tianyun. "Integrated building fault detection and diagnosis using data modeling and Bayesian networks." Thesis, Ecole nationale supérieure Mines-Télécom Lille Douai, 2020. http://www.theses.fr/2020MTLD0010.
Full textHeating, ventilation, and air-conditioning (HVAC) equipment faults and operational errors result in comfort issues and waste of energy in buildings. In order to help the facility managers to identify and fix faults more efficiently, it is essential to have an Automatic Fault Detection and Diagnosis (AFDD) tool, able to automatically detect comfort and energy issues and identify the root faults.Existing AFDD methods mostly focus on equipment-level fault detection and diagnostics. Almost no attention is given to building level fault diagnosis, considering inter-dependency between equipment through the energy distribution chain.This thesis proposes a new building AFDD method based on operation data collected by Building Management Systems (BMS). The method uses Bayesian Network to achieve building-level integrated fault diagnosis and equipment-level data-driven fault detection by information fusion of data collected from different equipment of HVAC systems. An important contribution relates to the use of operating data and learning techniques to automatically tune some parameters of the detection tool.Our methodology is composed of the following two parts:1. A new systematic way of transferring building system topology information and expert knowledge to a Bayesian Network.2. A novel approach for integrating equipment-level fault detection results into a building-level fault diagnosis Bayesian network. We use regression methods for central equipment (e.g. chiller, boiler, and Air Handling Unit), learned from normal operation data collected during a commissioning test. For room equipment, we use probabilistic models of correlations between control and measurement data.Once the fault diagnosis network is set up and all of the evidence is collected, the network is able to calculate the probability of different faults and identify the most probable root faults. We implemented the fault diagnostics Bayesian network on one simulation data set and two real building operation data sets to test the performance of the AFDD method. The results show that the method is able to easily handle large numbers of equipment, and correctly identify root causes with given evidences.Compared to existing AFDD methods, the new method provides the following benefits:1) The modular structure and generalized methodology allow the method to be applied to wide variety of HVAC systems.2) The method connects equipment faults to building comfort symptoms perceivable by occupants.3) The HVAC system is diagnosed as a whole instead of equipment by equipment.4) By connecting comfort set point violation with equipment fault, and tracing root fault of room equipment failure, the total number of alarms is reduced.5) Facility managers can use the tool in an interactive way, thanks to the capability to post evidence in the Bayesian network based on field investigation findings
Djuric, Natasa. "Real-time supervision of building HVAC system performance." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Engineering Science and Technology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2215.
Full textThis thesis presents techniques for improving building HVAC system performance in existing buildings generated using simulation-based tools and real data. Therefore, one of the aims has been to research the needs and possibilities to assess and improve building HVAC system performance. In addition, this thesis aims at an advanced utilization of building energy management system (BEMS) and the provision of useful information to building operators using simulation tools.
Buildings are becoming more complex systems with many elements, while BEMS provide many data about the building systems. There are, however, many faults and issues in building performance, but there are legislative and cost-benefit forces induced by energy savings. Therefore, both BEMS and the computer-based tools have to be utilized more efficiently to improve building performance.
The thesis consists of four main parts that can be read separately. The first part explains the term commissioning and the commissioning tool work principal based on literature reviews. The second part presents practical experiences and issues introduced through the work on this study. The third part deals with the computer-based tools application in design and operation. This part is divided into two chapters. The first deals with improvement in the design, and the second deals with the improvement in the control strategies. The last part of the thesis gives several rules for fault diagnosis developed using simulation tools. In addition, this part aims at the practical explanation of the faults in the building HVAC systems.
The practical background for the thesis was obtained though two surveys. The first survey was carried out with the aim to find the commissioning targets in Norwegian building facilities. In that way, an overview of the most typical buildings, HVAC equipment, and their related problems was obtained. An on-site survey was carried out on an example building, which was beneficial for introducing the building maintenance structure and the real hydronic heating system faults.
Coupled simulation and optimization programs (EnergyPlus and GenOpt) were utilized for improving the building performances. These tools were used for improving the design and the control strategies in the HVAC systems. Buildings with a hydronic heating system were analyzed for the purpose of improving the design. Since there are issues in using the optimization tool, GenOpt, a few procedures for different practical problems have been suggested. The optimization results show that the choice of the optimization functions influences significantly the design parameters for the hydronic heating system.
Since building construction and equipment characteristics are changing over time, there is a need to find new control strategies which can meet the actual building demand. This problem has been also elaborated on by using EnergyPlus and GenOpt. The control strategies in two different HVAC systems were analyzed, including the hydronic heating system and the ventilation system with the recovery wheel. The developed approach for the strategy optimization includes: involving the optimization variables and the objective function and developing information flow for handling the optimization process.
The real data obtained from BEMS and the additional measurements have been utilized to explain faults in the hydronic heating system. To couple real data and the simple heat balance model, the procedure for the model calibration by use of an optimization algorithm has been developed. Using this model, three operating faults in the hydronic heating system have been elaborated.
Using the simulation tools EnergyPlus and TRNSYS, several fault detection and diagnosis (FDD) rules have been generated. The FDD rules were established in three steps: testing different faults, calculating the performance indices (PI), and classifying the observed PIs. These rules have been established for the air cooling system and the hydronic heating system. The rules can diagnose the control and the component faults. Finally, analyzing the causes and the effects of the tested faults, useful information for the building maintenance has been descriptively explained.
The most important conclusions are related to a practical connection of the real data and simulation-based tools. For a complete understanding of system faults, it is necessary to provide real-life information. Even though BEMS provides many building data, it was proven that BEMS is not completely utilized. Therefore, the control strategies can always be improved and tuned to the actual building demands using the simulation and optimization tools. It was proven that many different FDD rules for HVAC systems can be generated using the simulation tools. Therefore, these FDD rules can be used as manual instructions for the building operators or as a framework for the automated FDD algorithms.
Denne avhandlingen presenterer noen fremgangsmåter for forbedring av ytelser for VVS-tekniske anlegg i eksisterende bygninger basert på bruk av simuleringsverktøy og virkelige måledata. Ett av målene har vært å undersøke behov og muligheter for vurdering og forbedring av ytelser for VVS-anlegg i bygninger. I tillegg har denne avhandlingen hatt som mål å fremme bruk av SD-anlegg samt å fremskaffe nyttig informasjon til driftspersonalet.
Bygninger blir stadig mer kompliserte systemer som inneholder flere og flere komponenter mens SD-anlegg håndterer en stadig større mengde data fra bygningsinstallasjoner. På den ene siden registreres det ofte feil og problemer med hensyn til ytelsene til de VVS-tekniske installasjonene. På den andre siden innføres det stadig strengere lovmessige pålegg og kost-nyttekrav motivert i energieffektiviseringen. SD-anlegg og databaserte verktøy bør derfor brukes mer effektivt for forbedring av ytelsene.
Avhandlingen består av fire hoveddeler hvor hver del kan leses separat. Den første delen, som er basert på literatturstudie, forklarer funksjonskontroll som begrep og prinsipper for oppbygging av verktøy for funksjonskontroll. Den andre delen presenterer praktisk erfaring og problemstillinger utviklet og behandlet i løpet av arbeidet med avhandlingen. Den tredje delen handler om anvendelse av databaserte verktøy for forbedring av ytelsen for VVS-tekniske installasjoner. Den tredje delen er delt opp i to kapitler, hvorav et handler om forbedring av systemløsninger og et om forbedring av styringsstrategier. Den siste delen presenterer flere regler for feilsøking og diagnostisering utviklet gjennom bruk av simuleringsverktøy. I tillegg gir denne delen en praktisk forklaring av feilene i de VVS-anleggene som er behandlet i undersøkelsen.
Det praktiske grunnlaget for avhandlingen er etablert gjennom to undersøkelser. Den første var en spørreundersøkelse som hadde til hensikt å kartlegge målsetninger for funksjonskontroll i norske bygninger. Gjennom dette ble det etablert en oversikt over de mest typiske bygninger med tilhørende VVS-anlegg og de mest forekommende problemene. En dypere undersøkelse ble utført på ett casebygg. Denne undersøkelsen viste seg å være nyttig både for kartlegging av betydningen av organisering av driften av bygningen og for avdekking av de virkelige feilene i det vannbårne oppvarmingssystemet.
En kobling mellom et simulerings- og et optimaliseringsprogram (EnergyPlus og GenOpt) har vært benyttet for forbedring av ytelsene for de VVS-tekniske installasjonene. Disse verktøyene har vært brukt for forbedring av både systemløsningene og styringsstrategiene for VVS-anlegg. Bygninger med vannbåren oppvarmingssystem har vært analysert for å forbedre systemløsningen. På grunn av begrensninger i bruken av optimaliseringsverktøyet GenOpt, har det blitt utviklet egne prosedyrer for håndtering av visse typer problemstillinger hvor denne begrensningen opptrer. Resultatene for optimaliseringen viser at valg av objektfunksjoner påvirker betydelig parametrene i det vannbårne oppvarmingssystemet.
Endringer i egenskapene til både bygningskonstruksjoner og utstyr som skjer på grunn av aldring over tiden, gjør det nødvendig med tilpassning av styringsstrategier slik at det virkelige behovet kan bli dekket. Denne problemstillingen har vært analysert ved bruk av EnergyPlus og GenOpt. Styringsstrategiene for to forskjellige VVS-anlegg, et vannbåret oppvarmingssystem og et ventilasjonsanlegg med varmegjenvinner har blitt behandlet. Den utviklete prosedyren for optimalisering av styringsstrategien består av følgende steg: innføring av optimaliseringsvariabler og objektfunksjon, samt utvikling av informasjonsflyt for behandling av optimaliseringsprosessen.
De virkelige data, både fra SD-anlegg og tilleggsmålinger, har vært benyttet for praktisk forklaring av feilene i oppvarmingssystemet. En prosedyre for modellkalibrering basert på bruk av en optimaliseringsalgoritme som kobler sammen de virkelige data og en enkel varmebalansemodell har blitt foreslått. Tre konkrete driftsfeil i oppvarmingssystemet har blitt belyst gjennom bruk av denne varmebalansemodellen.
Flere regler for feilsøking og diagnostisering har blitt utviklet ved hjelp av simuleringsverktøyene EnergyPlus and TRNSYS. Denne utviklingen har bestått av tre ulike steg: testing av bestemte feil, beregning av ytelsesindikatorer og til slutt klassifisering av de observerte ytelsesindikatorer. Reglene har blitt utviklet for et system av aggregater for luftkjøling og for et vannbåret oppvarmingssystem. Reglene kan diagnostisere både styringsfeil og komponentfeil. Til slutt presenteres informasjon som er nyttig for drift av VVS-tekniske installasjoner i bygninger basert på en analyse av årsakene for og virkningene av de feil som er behandlet.
De viktigste konklusjonene er knyttet til praktisk kombinasjon av virkelige måleverdier og simuleringsverktøy. Informasjon fra det virkelig liv er helt nødvendig for å få en god forståelse av feil som oppstår i anlegg. Det er også vist at potensialet som ligger i alle de data som er tilgjengelige gjennom SD-anlegg, ikke er fullt utnyttet. Gjennom bruk av simuleringsverktøy kan styringsstrategiene alltid bli bedre tilpasset og innjustert til de virkelige behov i bygningen. Simuleringsverktøy kan også brukes for utvikling av prosedyrer for feilsøking og diagnostisering i VVS-tekniske anlegg. Disse prosedyrene kan brukes enten som en veileder for manuell feilsøking og detektering eller som grunnlag for utvikling av automatiserte algoritmer.
Paper II, VI and VII are reprinted with kind permission from Elsevier, sciencedirect.com
Materano, Antonella. "The building blocks of social entrepreneurship: empirical model and framework." Master's thesis, NSBE - UNL, 2013. http://hdl.handle.net/10362/11631.
Full textThe purpose of this exploratory study is to identify a common path followed by social entrepreneurs, so as to build a comprehensive empirical model. The methodology used is qualitative interviews; in particular, semi-structured questions were addressed to a sample of ten social entrepreneurs, whose answers were transcribed and analysed. The main result is represented by a five-stage pattern followed by social entrepreneurs: each stage is firstly described and further linked to specific challenges that social entrepreneurs face and assets they need during the process. It is fundamental to highlight that some of these stages and challenges are peculiar to social entrepreneurship, differing from regular entrepreneurship. The key conclusion is that it is possible to identify a common pattern that could guide current and future social entrepreneurs. Furthermore, this research paper emphasises best practices and lesson learned from current social entrepreneurs by leaving a powerful heritage to who is interested in make a real change in society.
Patil, N. "In-situ measurement methods for characterisation and diagnosis of airborne sound transmission through multi-layered building partitions." Thesis, University of Salford, 2018. http://usir.salford.ac.uk/46321/.
Full textAlshehri, Abdullah Mohammed. "Conflict in architectural projects : diagnosis and avoidance : a study based on Saudi Arabian construction industry." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/conflict-in-architectural-projects--diagnosis-and-avoidancea-study-based-on-saudi-arabian-construction-industry(795de607-2709-4c24-9373-7762ce303c0a).html.
Full textBooks on the topic "Diagnosis of the building"
Delgado, João M. P. Q., ed. Recent Developments in Building Diagnosis Techniques. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0466-7.
Full textEuropean Geosciences Union. General Assembly. Building stone decay: From diagnosis to conservation. London: Geological Society, 2007.
Find full textRougier, Philip A. The diagnosis of building defects by computer. Ascot, Berks: Chartered Institute of Building, 1994.
Find full textAddleson, Lyall. Building failures: A guide to diagnosis, remedy, and prevention. 2nd ed. London: Butterworth Architecture, 1989.
Find full textBuilding failures: A guide to diagnosis, remedy, and prevention. 3rd ed. Oxford: Butterworth Architecture, 1992.
Find full textSick buildings: Definition, diagnosis, and mitigation. Boca Raton: Lewis Publishers, 1995.
Find full textGodart, Bruno. Guide to Diagnosis and Appraisal of AAR Damage to Concrete in Structures: Part 1 Diagnosis (AAR 6.1). Dordrecht: Springer Netherlands, 2013.
Find full textE, Press Christopher, ed. Building market strength through DRGs. Chicago, Ill: Pluribus Press, 1986.
Find full textBallast, David Kent. Building diagnostics. Monticello, Ill., USA: Vance Bibliographies, 1987.
Find full textBook chapters on the topic "Diagnosis of the building"
Son, Lee How, and George C. S. Yuen. "Diagnosis and Investigation Techniques." In Building Maintenance Technology, 29–43. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-23150-8_3.
Full textKwan, A. K. H., and P. L. Ng. "Building Diagnostic Techniques and Building Diagnosis: The Way Forward." In Lecture Notes in Mechanical Engineering, 849–62. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09507-3_74.
Full textEmeritus, Satoshi Ishikawa, PhD, Professor, and Mikio Miyata, PhD, MD, Professor Emeritus. "5 Diagnosis." In Chemical Sensitivity and Sick-Building Syndrome, 29–36. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.1201/9781315374451-6.
Full textSon, Lee How, and George C. S. Yuen. "Concrete Defects — Inspection and Diagnosis." In Building Maintenance Technology, 100–123. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-23150-8_6.
Full textAnnila, Petri J., Jukka Lahdensivu, Jommi Suonketo, and Matti Pentti. "Practical Experiences from Several Moisture Performance Assessments." In Recent Developments in Building Diagnosis Techniques, 1–20. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0466-7_1.
Full textErba, Silvia, Bruno Daniotti, Elisabetta Rosina, Antonio Sansonetti, and Riccardo Paolini. "Evaluation of Moisture Transfer to Improve the Conservation of Tiles Finishing Facades." In Recent Developments in Building Diagnosis Techniques, 171–94. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0466-7_10.
Full textGuerra, Fernanda Lamego, Eduardo Grala da Cunha, and Fábio Galli. "Analysis of Microclimate in a Historical Building to Assess the Probability of Recurrence of Filamentous Fungi." In Recent Developments in Building Diagnosis Techniques, 195–213. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0466-7_11.
Full textStolz, Carina Mariane, and Angela Borges Masuero. "Analysis of Main Parameters that Affect Contact Area Between Mortar Rendering and Substrate: Use of 3D Laser Scanning Technique." In Recent Developments in Building Diagnosis Techniques, 21–35. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0466-7_2.
Full textLembo, Filiberto, and Francesco Paolo R. Marino. "The Pathologies of the ETICS." In Recent Developments in Building Diagnosis Techniques, 37–49. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0466-7_3.
Full textBauer, Elton, Elier Pavón, Cláudio H. F. Pereira, and Matheus L. M. Nascimento. "Criteria for Identification of Ceramic Detachments in Building Facades with Infrared Thermography." In Recent Developments in Building Diagnosis Techniques, 51–68. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0466-7_4.
Full textConference papers on the topic "Diagnosis of the building"
Romessis, C., and K. Mathioudakis. "Bayesian Network Approach for Gas Path Fault Diagnosis." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-53801.
Full textSharma, Seema, and Deepti Mehrotra. "Building CBR based diagnosis system using jCOLIBRI." In 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence (Confluence). IEEE, 2017. http://dx.doi.org/10.1109/confluence.2017.7943229.
Full textBeasley, Kimball J. "Identification and Diagnosis of Building Façade Failures." In Fifth Forensic Engineering Congress. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41082(362)8.
Full textDai, Yinglong, Guojun Wang, Sihong Chen, and Xiaofei Xing. "Building deep architectures for traditional chinese medicine diagnosis." In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2017. http://dx.doi.org/10.1109/uic-atc.2017.8397497.
Full textDouangnoulack, Phonethep, and Veera Boonjing. "Building Minimal Classification Rules for Breast Cancer Diagnosis." In 2018 10th International Conference on Knowledge and Smart Technology (KST). IEEE, 2018. http://dx.doi.org/10.1109/kst.2018.8426198.
Full textGatton, Thomas M., and Frank W. Kearney. "Automated Knowledge Acquistion for Building Diagnosis Expert Systems." In 6th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 1989. http://dx.doi.org/10.22260/isarc1989/0073.
Full textPalacios, Luis, Gaëlle Lortal, Claire Laudy, Christian Sannino, Ludovic Simon, Giuseppe Fusco, Yue Ma, and Chantal Reynaud. "Avionics Maintenance Ontology Building for Failure Diagnosis Support." In 8th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0006092002040209.
Full textZhang, Xuedian, Min Chang, Ma Yiu Man, Wu Kin Mo, and Yeung Chi Hang. "A PDA-Based Intelligent Building Service System." In 2009 IEEE Circuits and Systems International Conference on Testing and Diagnosis. IEEE, 2009. http://dx.doi.org/10.1109/cas-ictd.2009.4960765.
Full textWang, Dianhui. "Data Mining for Building Rule-based Fault Diagnosis Systems." In 2006 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.280946.
Full textNajeh, Houda, Mahendra Pratap Singh, Karim Chabir, Stephane Ploix, and Mohamed Naceur Abdelkrim. "Fault Detection and Diagnosis for Building Systems: New Challenges." In 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2018. http://dx.doi.org/10.1109/ssd.2018.8570606.
Full textReports on the topic "Diagnosis of the building"
Wen, Jin, and Yimin Chen. VOLTTRON COMPATIBLE WHOLE BUILDING ROOTFAULT DETECTION AND DIAGNOSIS. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1524639.
Full textFrank, Stephen M., Guanjing Lin, Xin Jin, Rupam Singla, Amanda Farthing, Liang Zhang, and Jessica Granderson. Metrics and Methods to Assess Building Fault Detection and Diagnosis Tools. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1503166.
Full textBae, Yeonjin, Borui Cui, Jaewan Joe, Piljae Im, Veonica Adetola, Liang Zhang, Matt Leach, and Teja Kuruganti. Review: Sensor Impact on Building Controls and Automatic Fault Detection and Diagnosis (AFDD). Office of Scientific and Technical Information (OSTI), January 2020. http://dx.doi.org/10.2172/1671427.
Full textIm, Piljae, Yeonjin Bae, Borui Cui, Seungjae Lee, Saptarshi Bhattacharya, Veronica Adetola, Draguna Vrabie, Liang Zhang, and Matt Leach. Literature Review for Sensor Impact Evaluation and Verification Use Cases - Building Controls and Fault Detection and Diagnosis (FDD). Office of Scientific and Technical Information (OSTI), April 2020. http://dx.doi.org/10.2172/1649168.
Full textSebald, A., and M. A. Piette. Diagnostics for building commissioning and operation. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/672145.
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