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Dissertations / Theses on the topic 'Intelligent methods of diagnosis'

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1

Liu, Haoran. "Statistical and intelligent methods for default diagnosis and loacalization in a continuous tubular reactor." Phd thesis, INSA de Rouen, 2009. http://tel.archives-ouvertes.fr/tel-00560886.

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The aim is to study a continuous chemical process, and then analyze the hold process of the reactor and build the models which could be trained to realize the fault diagnosis and localization in the process. An experimental system has been built to be the research base. That includes experiment part and record system. To the diagnosis and localization methods, the work presented the methods with the data-based approach, mainly the Bayesian network and RBF network based on GAAPA (Genetic Algorithm with Auto-adapted of Partial Adjustment). The data collected from the experimental system are used
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2

Guo, Ran. "Intelligent method for collecting vital signals in versatile distributed e-home healthcare." Thesis, University of Macau, 2017. http://umaclib3.umac.mo/record=b3691807.

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3

Vétil, Rebeca. "Artificial Intelligence Methods to Assist the Diagnosis of Pancreatic Diseases in Radiology." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAT014.

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Avec l’augmentation de son incidence et son taux de survie à cinq ans (9%), le cancer du pancréas pourrait devenir la troisième cause de décès par cancer d’ici 2025.Ces chiffres sont notamment dus aux diagnostics tardifs, limitant les options thérapeutiques. Cette thèse vise à assister les radiologues dans le diagnostic du cancer du pancréas sur des images scanner grâce à des outils d’intelligence artificielle (IA) qui faciliteraient un diagnostic précoce. Pour atteindre ces objectifs, trois pistes de recherche ont été explorées. Premièrement, une méthode de segmentation automatique du pancréa
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4

Herrera, Liana J. Marmol. "Artificial intelligence methods for the diagnosis of myocardial damage in Chagas' disease using electrocardiographic signals." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314320.

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5

Bezha, Minella. "Development of deterioration diagnostic methods for secondary batteries used in industrial applications by means of artificial intelligence." Thesis, https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB13127438/?lang=0, 2020. https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB13127438/?lang=0.

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蓄電池は携帯機器,電気自動車をはじめ,自然エネルギー有効利用に至るまで広範囲に利用され,その重要性はますます高まっている。これら機器の使用時間や特性は蓄電池の特性に大きく依存することから,電池自体の特性改善に加え,劣化を診断してより効率的に電池を運用することが求められている。本論文は,非線形情報処理を得意とする人工知能を用いた2次電池の劣化診断法を開発し,エネルギーの有効利用に資する技術を確立した。機器動作時の電池電圧・電流波形と電池劣化特性との関連性を,人工知能を用い学習することにより,機器稼働時に電池の劣化を診断することができる。なお,この関連性は非線形で複雑であるが,非線形分析を得意とする人工知能は劣化診断に適している。学習には時間を要するものの,診断は短時間になし得ることから,提案法は稼働時劣化診断に適している。本論文では,この特徴を生かし,電池の等価回路(ECM)を導出し,充電率(SOC),容量維持率(SOH)を推定している。また,本論文では現在産業応用分野で用いられている,リチウムイオン電池,ニッケル水素電池,鉛蓄電池を対象とし,提案法はあらゆる電池使用機器に応用可能である。また,提案法を電池状態監視装置(BMU)や,マイコンなどを用いた組み込みシステムに応用可能とし,実証している。以上のことから,本論文は,新たな蓄電池の劣化診断法の確立し,その有効性を確認している。<
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6

Pous, i. Sabadí Carles. "Case based reasoning as an extension of fault dictionary methods for linear electronic analog circuits diagnosis." Doctoral thesis, Universitat de Girona, 2004. http://hdl.handle.net/10803/7728.

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El test de circuits és una fase del procés de producció que cada vegada pren més importància quan es desenvolupa un nou producte. Les tècniques de test i diagnosi per a circuits digitals han estat desenvolupades i automatitzades amb èxit, mentre que aquest no és encara el cas dels circuits analògics. D'entre tots els mètodes proposats per diagnosticar circuits analògics els més utilitzats són els diccionaris de falles. En aquesta tesi se'n descriuen alguns, tot analitzant-ne els seus avantatges i inconvenients.<br/>Durant aquests últims anys, les tècniques d'Intel·ligència Artificial han esde
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7

Behroozinia, Pooya. "Finite Element Analysis of Defects in Cord-Rubber Composites and Hyperelastic Materials." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/87703.

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In recent years, composite materials have been widely used in several applications due to their superior mechanical properties including high strength, high stiffness, and low density. Despite the remarkable advancements in theoretical and computational methods for analyzing composites, investigating the effect of lamina properties and lay-up configurations on the strength of composites still remains an active field of research. Finite Element Method (FEM) and Extended Finite Element Method (XFEM) are powerful tools for solving the boundary value problems. One of the objectives of this work is
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8

Juuso, E. (Esko). "Integration of intelligent systems in development of smart adaptive systems:linguistic equation approach." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526202891.

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Abstract Smart adaptive systems provide advanced tools for monitoring, control, diagnostics and management of nonlinear multivariate processes. Data mining with a multitude of methodologies is a good basis for the integration of intelligent systems. Small, specialised systems have a large number of feasible solutions, but highly complex systems require domain expertise and more compact approaches at the basic level. Linguistic equation (LE) approach originating from fuzzy logic is an efficient technique for these problems. This research is focused on the smart adaptive applications, where diff
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9

Bishop, James. "The Potential of Misdiagnosis of High IQ Youth by Practicing Mental Health Professionals: A Mixed Methods Study." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062851/.

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The difficulty of distinguishing between genuine disorder and characteristics that can be attributed to high IQ increases the likelihood of diagnostic error by mental health practitioners. This mixed methods study explores the possibility of misdiagnosis of high IQ youth by mental health professionals. Participants were private practice mental health professionals who read case study vignettes illustrating high IQ youth exhibiting characteristics associated with their population. Participants then completed a survey and provided an assessment of the hypothetical client. In the study, 59% of pa
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Ващенко, Ярослав Васильович. "Удосконалення технології діагностування стану тягового асинхронного електроприводу рухомого складу". Thesis, Український державний університет залізничного транспорту, 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/22714.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.22.09 – електротранспорт. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2016 р. Дисертація присвячена вирішенню науково-технічної задачі по удосконаленню технології діагностування стану тягового асинхронного електроприводу рухомого складу на основі застосування діагностичних ознак, що свідчили б про настання аварійних режимів, а також розробці технологій, методів та алгоритмів, що дозволили б виявляти та упереджувати подальший розвиток таких режимів. Для виконання дослід
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Ващенко, Ярослав Васильович. "Удосконалення технології діагностування стану тягового асинхронного електроприводу рухомого складу". Thesis, НТУ "ХПІ", 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/22713.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.22.09 – електротранспорт. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2016 р. Дисертація присвячена вирішенню науково-технічної задачі по удосконаленню технології діагностування стану тягового асинхронного електроприводу рухомого складу на основі застосування діагностичних ознак, що свідчили б про настання аварійних режимів, а також розробці технологій, методів та алгоритмів, що дозволили б виявляти та упереджувати подальший розвиток таких режимів. Для виконання дослідж
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12

Li, Yingping. "Artificial intelligence and radiomics in cancer diagnosis." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG053.

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L'intelligence artificielle (IA) est très utilisée pour le diagnostic et le traitement de données médicales, donnant lieu à la médecine personnalisée assistée par l'IA. Ce manuscrit se concentre sur la proposition et l'analyse de méthodes d'IA, notamment l'apprentissage profond et la radiomique, pour le diagnostic du cancer. Tout d'abord, une approche efficace de segmentation automatique est essentielle pour mettre en place une méthode de diagnostic par IA, car c'est un préalable à une analyse par radiomiques. Nous avons proposé une nouvelle approche pour la segmentation automatique des lésion
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13

Hamad, Adnan. "Intelligent fault diagnosis for automotive engines." Thesis, Liverpool John Moores University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590082.

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Fault detection and isolation (FDI) has become one of the most important aspects of automobile design. In this thesis, a new fault detection and isolation approach is developed for automotive engines. The method uses an independent radial basis function neural network model to model engine dynamics, and the modelling errors are used to from the basis for residual generation. Furthermore, another radial basis function neural network is used as a fault classifier to isolate an occurred fault from other possible faults in the system by classifying fault characteristics embedded in the modelling e
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14

Kabir, Mashud. "Intelligent system for fault diagnosis in automotive applications." [S.l. : s.n.], 2008.

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15

Wright, Jonathan. "Intelligent methods for locomotion optimisation." Thesis, University of Portsmouth, 2015. https://researchportal.port.ac.uk/portal/en/theses/intelligent-methods-for-locomotion-optimisation(306f8931-16b5-4b75-9bfc-d75c070af420).html.

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This thesis presents, critical compares and develops new methods to control and optimise locomotion for a range of systems. Jumping and running locomotion skills are examined in detail, and intelligent methods are discussed and adapted to optimise for correct form of motion, and performance outcomes. Existing control techniques are summarised and compared, including traditional analytical methods, central pattern generator oscillator systems, pattern generating neural networks, rule based systems and other specialist methods. Optimisation and learning methods presented in the literature are al
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16

Турова, Людмила Олександрівна, Людмила Александровна Турова, Liudmyla Oleksandrivna Turova, and W. A. Alsaedi. "New methods in prenatal diagnosis." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/32308.

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The development of genotyping and sequencing techniques has been dramatic during the recent years. Now it is possible to obtain a full view over an individual’ s genetic landscape in the form of a million common single-nucleotide polymorphisms (SNPs) in single and affordable experiments. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/32308
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17

Jain, Ravi. "Intelligent techniques for the diagnosis of coronary artery disease /." Title page, contents and abstract only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phj248.pdf.

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18

Wang, Peng. "Intelligent signal/image processing for fault diagnosis and prognosis." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/13308.

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19

Zhou, Ji. "Intelligent fault diagnosis with applications to gas turbine engines." Thesis, University of Sheffield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284354.

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20

Zarkadis, George. "An intelligent decision support system for acid-base diagnosis." Thesis, City University London, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235504.

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21

Kosov, Sergey. "Intelligent pressure control and diagnosis of water distribution networks." Thesis, De Montfort University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391542.

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22

Pavlou, Alexandros K. "Novel intelligent gas-sensing in diagnosis of infectious diseases." Thesis, Cranfield University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399121.

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23

Calabrese, Francesca. "Vibration Monitoring and Intelligent Diagnosis Tools for Condition-Based Maintenance." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Ogni impianto di produzione è caratterizzato da periodi di operatività, nei quali funziona correttamente, e da periodi di fermo, dovuti alla presenza di guasti o all’esigenza di effettuare attività volte a ristabilire il suo normale comportamento. L’obiettivo principale della funzione manutenzione è minimizzare i periodi di fermo impianto, al fine di renderlo il più disponibile possibile. Attualmente, la manutenzione basata su condizione (CBM) è una delle più politiche più efficaci adottate dalle industrie. Essa è basata sul monitoraggio di diversi parametri della macchina che ne riflettono
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24

Tang, Meng. "The Adaptive Intelligent Model for Process Diagnosis, Prediction and Control." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for produksjons- og kvalitetsteknikk, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-328.

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This research work focuses at first on the intelligent model development for process state (special for fault) detection, behavior prediction and process control for complex industrial processes. In the model architecture, Fuzzy Neural Networks (FNNs) are employed as process state classifiers for process state (fault) detection; other (different) Neural Networks (NNs) models are applied for system identification of process characteristics in different process states. The model detects process states (faults) and predicts process behavior according to process input and historical behaviors, who
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Han, Yu. "Intelligent partial discharge diagnosis using SOM for turbogenerator condition monitoring." Thesis, Brunel University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249950.

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Tian, Jia. "Intelligent traditional Chinese medicine diagnosis support using multi modal reasoning." Thesis, University of Nottingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442270.

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27

Sangha, Mahavir Singh. "Intelligent fault diagnosis for automative engines and real data evaluation." Thesis, Liverpool John Moores University, 2008. http://researchonline.ljmu.ac.uk/5867/.

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28

Van, Niekerk Theo. "Monitoring a diagnosis for control of an intelligent machining process." Thesis, Port Elizabeth Technikon, 2001. http://hdl.handle.net/10948/70.

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A multi-level modular control scheme to realize integrated process monitoring, diagnosis and control for intelligent machining is proposed and implemented. PC-based hardware architecture to manipulate machining process cutting parameters, using a PMAC interface card as well as sensing processes performance parameters through sampling, and processing by means of DSP interface cards is presented. Controller hardware, to interface the PC-based PMAC interface card to a machining process for the direct control of speed, feed and depth of cut, is described. Sensors to directly measure on-line proces
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Alani, Shayma. "Design of intelligent ensembled classifiers combination methods." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/12793.

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Classifier ensembling research has been one of the most active areas of machine learning for a long period of time. The main aim of generating combined classifier ensembles is to improve the prediction accuracy in comparison to using an individual classifier. A combined classifiers ensemble can improve the prediction results by compensating for the individual classifier weaknesses in certain areas and benefiting from better accuracy of the other ensembles in the same area. In this thesis, different algorithms are proposed for designing classifier ensemble combiners. The existing methods such a
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Betschart, Willie. "Applying intelligent statistical methods on biometric systems." Thesis, Blekinge Tekniska Högskola, Avdelningen för signalbehandling, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1694.

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This master’s thesis work was performed at Optimum Biometric Labs, OBL, located in Karlskrona, Sweden. Optimum Biometric Labs perform independent scenario evaluations to companies who develop biometric devices. The company has a product Optimum preConTM which is surveillance and diagnosis tool for biometric systems. This thesis work’s objective was to develop a conceptual model and implement it as an additional layer above the biometric layer with intelligence about the biometric users. The layer is influenced by the general procedure of biometrics in a multimodal behavioural way. It is workin
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Petrov, Nedyalko. "Intelligent methods for pattern recognition and optimisation." Thesis, University of Portsmouth, 2015. https://researchportal.port.ac.uk/portal/en/theses/intelligent-methods-for-pattern-recognition-and-optimisation(13d07545-80a6-4804-b095-a48704dda2c0).html.

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This dissertation presents and discusses the processes of investigation, implementation, testing, validation and evaluation of several computational intelligence-based systems for solving four large-scale real-world problems. In particular, two industrial problems from the pattern recognition and two from the process optimisation areas are studied and intelligent methods to address them are proposed, developed and tested using real-world data. The first problem investigated is the application of an intelligent visual inspection system for classification of texture images. Two major approaches,
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Abdullah, Rudwan Ali Abolgasim. "Intelligent methods for complex systems control engineering." Thesis, University of Stirling, 2007. http://hdl.handle.net/1893/257.

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This thesis proposes an intelligent multiple-controller framework for complex systems that incorporates a fuzzy logic based switching and tuning supervisor along with a neural network based generalized learning model (GLM). The framework is designed for adaptive control of both Single-Input Single-Output (SISO) and Multi-Input Multi-Output (MIMO) complex systems. The proposed methodology provides the designer with an automated choice of using either: a conventional Proportional-Integral-Derivative (PID) controller, or a PID structure based (simultaneous) Pole and Zero Placement controller. The
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Ma, Yingnan. "Intelligent energy management system : techniques and methods." Thesis, City University London, 2011. http://openaccess.city.ac.uk/1212/.

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ABSTRACT Our environment is an asset to be managed carefully and is not an expendable resource to be taken for granted. The main original contribution of this thesis is in formulating intelligent techniques and simulating case studies to demonstrate the significance of the present approach for achieving a low carbon economy. Energy boosts crop production, drives industry and increases employment. Wise energy use is the first step to ensuring sustainable energy for present and future generations. Energy services are essential for meeting internationally agreed development goals. Energy manageme
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He, Shengyang. "Modeling power system load using intelligent methods." Thesis, Kansas State University, 2011. http://hdl.handle.net/2097/12036.

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Master of Science<br>Department of Electrical Engineering<br>Shelli K. Starrett<br>Modern power systems are integrated, complex, dynamic systems. Due to the complexity, power system operation and control need to be analyzed using numerical simulation. The load model is one of the least known models among the many components in the power system operation. The two different load models are the static and dynamic models. The ZIP load model has been extensively studied. This has widely applied to composite load models that could maintain constant impedance, constant current, and/or co
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Dadgar, Ashraf. "Methods for identification and diagnosis of amyloidosis." Thesis, Uppsala University, Department of Medical Biochemistry and Microbiology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7175.

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<p>The amyloidoses are biochemically heterogeneous diseases with patholophysiologic deposits of various proteins. Amyloid deposits can occur either localized to one organ or tissue or as part of a systemic disease with deposits in many different tissue. The clinical course, prognosis and therapy are different for each type of amyloidosis and therefore a type specific diagnosis is demanded as early as possible. We describe a method for typing of the most common systemic amyloidoses based on Western blot analysis combined with specific</p><p>in- house antibodies, using subcutaneous fat biopsies.
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Lam, Mary. "Benchmark of Probabilistic Methods for Fault Diagnosis." Thesis, KTH, Reglerteknik, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-106235.

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To be able to do the correct action when a fault is detected, the fault isolation part must be precise and run in real time during operation of the process. In many cases can it be difficult to decide exactly where the fault is localized. In those cases, the isolation algorithm must rank the faults according to their probability to be the cause to the behavior. The masters thesis project aims at probabilistic methods and algorithms for fault isolation in embedded systems. Different kind of Bayesian Networks have been compared in this report and the comparison has been done on a literature defi
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Zhong, Jian Hua. "Intelligent system based facility monitoring and fault diagnosis of power generators." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2550655.

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38

Gemmell, Brian David. "A consultative expert system for intelligent diagnosis on steam turbine plant." Thesis, University of Strathclyde, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340915.

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Dassanayake, Hemendra Parakrama Bandara. "Fault diagnosis for a new generation of intelligent train door systems." Thesis, University of Birmingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633083.

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This thesis presents the fault diagnosis of an electric train door system. To operate an efficient rail system it imperative that equipment such as train doors are maintained thoroughly, preferably using a predictive maintenance scheme. Initially, a life size testrig was constructed and information regarding frequent door faults collected from both the maintainers and manufacturers. Thirteen faults were induced on the test-rig and a comprehensive dataset collected. It was found that the main incipient faults are related to changes in the friction. By examining the steady state operating condit
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40

Zhang, Zhenyou. "Data Mining Approaches for Intelligent Condition-based Maintenance : A Framework of Intelligent Fault Diagnosis and Prognosis System (IFDPS)." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for produksjons- og kvalitetsteknikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25148.

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Condition-based Maintenance (CBM) is a maintenance policy that take maintenance action just when need arises with real-time condition monitoring. Intelligent CBM means a CBM system is capable of understanding and making maintenance decisions without human intervention. To achieve this objective, it is needed to detect current conditions of mechanical and electrical systems and predict the fault of the systems accurately. What’s more, the maintenance scheduling need to be optimized to reduce the maintenance cost and improve the reliability, availability and safety based on the results of fault
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41

Xia, Qijun. "Hybrid reasoning methods for intelligent operation support systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0017/NQ46948.pdf.

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42

Lannerhed, Petter. "Structural Diagnosis Implementation of Dymola Models using Matlab Fault Diagnosis Toolbox." Thesis, Linköpings universitet, Fordonssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138753.

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Models are of great interest in many fields of engineering as they enable prediction of a systems behaviour, given an initial mode of the system. However, in the field of model-based diagnosis the models are used in a reverse manner, as they are combined with the observations of the systems behaviour in order to estimate the system mode. This thesis describes computation of diagnostic systems based on models implemented in Dymola. Dymola is a program that uses the language Modelica. The Dymola models are translated to Matlab, where an application called Fault Diagnosis Toolbox, FDT is applied.
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Reid, C. "Spectroscopic methods for medical diagnosis at terahertz wavelengths." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/17571/.

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Terahertz (THz) radiation lies between the microwave and infrared regions of the electromagnetic spectrum. THz radiation excites intermolecular interactions and is non-ionising making it a viable tool for medical imaging. This thesis describes the development and validation of spectroscopic methods for diagnosis of tissue pathologies at THz wavelengths. Theoretical techniques were developed to determine the origin of the contrast seen in THz images of biological tissue. Specific biological tissues investigated in this thesis were colonic tissues with the aim of determining the origin of contra
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Mahmoud, Houssam. "Diagnosis of Pneumatic Cylinders Using Acoustic Emission Methods." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-399214.

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Tato práce se zabývá vývojem nového efektivního diagnostického postupu pro kontrolu funkce pneumatických válců pomocí metody akustické emise. Cílem práce bylo navrhnout a určit diagnostická kritéria pro hodnocení kvality vybraných typů pneumatických válců. Prvním krokem bylo nalezení typického akustického emisního signálu, který je spojen s určitým typem poškození ve válci využitím frekvenčního spektra signálu. Později byl tento parametr nahrazen parametrem RMS během sledování změn v průběhu testů. Na konkrétních válcích byl sledován vztah mezi akustickou emisí a různými typy defektů a byl pře
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Vileiniskis, Marius. "Fault detection and diagnosis methods for engineering systems." Thesis, University of Nottingham, 2015. http://eprints.nottingham.ac.uk/30402/.

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The main aim of this thesis is to investigate available techniques and develop a methodology for the fault detection and diagnostics for two engineering systems, namely railway point systems (RPS) and three-phase separators (TPS). The fault detection of the RPS was performed on the measured current from the motor of point operating equipment (POE). The method of One Class Support Vector Machines has been chosen as the fault detection model. Elastic similarity measures, such as edit distance with real penalties and dynamic time warping, were chosen to compare the data of POE operations. A combi
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Deng, Hua. "Hybrid spectral/intelligent modeling, control and diagnosis for nonlinear distributed curing processes /." access full-text access abstract and table of contents, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-meem-b19887334a.pdf.

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Thesis (Ph. D.)--City University of Hong Kong, 2005.<br>"Submitted to Department of Manufacturing Engineering and Engineering Management in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 169-181).
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Sekar, Booma Devi. "Hybrid intelligent technology based fault diagnosis system for squirrel cage induction motor." Thesis, University of Macau, 2007. http://umaclib3.umac.mo/record=b1678023.

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Sharif, Mohamed Abdulla Mohamed. "Application of intelligent instrumentation in process plant condition monitoring and fault diagnosis." Thesis, Cardiff University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340896.

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Khan, Atif A. "Intelligent data analysis for pattern recognition and medical diagnosis of ageing spine." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/66677/.

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Every year, the healthcare industry collects a huge volume of data that is not mined properly and not put to optimal use. Discovery of the hidden patterns and relationships in data often goes unexploited. Data mining in the medical domain is more rigorous and complex to handle as most available raw medical data are voluminous and heterogeneous in nature. This research mines medical data related to human spine by learning patterns through the collected data and develops medical decision support systems based on intelligent system techniques. This study will help medical specialists in clinical
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Poon, Wing-shan Rosana, and 潘穎珊. "Evaluation of methods of susceptibility testing for laribacter hongkongensis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B45010389.

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