Dissertationen zum Thema „Online diagnostic system“

This master thesis deals with data processing from an online diagnostic system. The theoretical part of the work is divided into three chapters, the first deals with technical diagnostics as such, there are basic terminology and concepts associated with technical diagnostics, such as diagnostic methods, tools, models and signals. The second part is focused on diagnostic systems and their division. This chapter also provides some examples of online diagnostic monitoring systems from three different companies. The last chapter of the theoretical part is devoted to the description of the possibilities of data collection from diagnostic systems, ie. description of communication buses and protocols. The practical part of this work focuses on creating an application for data collection and visualization.

This master’s thesis deals with online vibration diagnostics of the milling machine spindle. It is aimed at the implementation of the complex online vibration diagnostics system to chosen milling machine, the suggestion of the vibration measurement system and the suggestion of the evaluation of changes of the technical condition of this milling machine spindle. The description of the vibration diagnostics, the description of the milling machine spindle construction and function and the suggestions for the practical application of vibration diagnostics are also parts of this thesis.

This thesis deals with vibration diagnostics and on-line monitoring systems of several producers. Furthermore, this thesis contains a description and evaluation of measuring the vibrations of the machine tool spindle when machining test samples with different cutting conditions and evaluating the surface quality of test samples.

Cette thèse est consacrée à l'étude de diagnostic de pannes pour les systèmes pile à combustible de type PEMFC. Le but est d'améliorer la fiabilité et la durabilité de la membrane électrolyte polymère afin de promouvoir la commercialisation de la technologie des piles à combustible. Les approches explorées dans cette thèse sont celles du diagnostic guidé par les données. Les techniques basées sur la reconnaissance de forme sont les plus utilisées. Dans ce travail, les variables considérées sont les tensions des cellules. Les résultats établis dans le cadre de la thèse peuvent être regroupés en trois contributions principales.La première contribution est constituée d'une étude comparative. Plus précisément, plusieurs méthodes sont explorées puis comparées en vue de déterminer une stratégie précise et offrant un coût de calcul optimal.La deuxième contribution concerne le diagnostic online sans connaissance complète des défauts au préalable. Il s'agit d'une technique adaptative qui permet d'appréhender l'apparition de nouveaux types de défauts. Cette technique est fondée sur la méthodologie SSM-SVM et les règles de détection et de localisation ont été améliorées pour répondre au problème du diagnostic en temps réel.La troisième contribution est obtenue à partir méthodologie fondée sur l'utilisation partielle de modèles dynamiques. Le principe de détection et localisation de défauts est fondé sur des techniques d'identification et sur la génération de résidus directement à partir des données d'exploitation.Toutes les stratégies proposées dans le cadre de la thèse ont été testées à travers des données expérimentales et validées sur un système embarqué
Aiming at improving the reliability and durability of Polymer Electrolyte Membrane Fuel Cell (PEMFC) systems and promote the commercialization of fuel cell technologies, this thesis work is dedicated to the fault diagnosis study for PEMFC systems. Data-driven fault diagnosis is the main focus in this thesis. As a main branch of data-driven fault diagnosis, the methods based on pattern classification techniques are firstly studied. Taking individual fuel cell voltages as original diagnosis variables, several representative methodologies are investigated and compared from the perspective of online implementation.Specific to the defects of conventional classification based diagnosis methods, a novel diagnosis strategy is proposed. A new classifier named Sphere-Shaped Multi-class Support Vector Machine (SSM-SVM) and modified diagnostic rules are utilized to realize the novel fault recognition. While an incremental learning method is extended to achieve the online adaptation.Apart from the classification based diagnosis approach, a so-called partial model-based data-driven approach is introduced to handle PEMFC diagnosis in dynamic processes. With the aid of a subspace identification method (SIM), the model-based residual generation is designed directly from the normal and dynamic operating data. Then, fault detection and isolation are further realized by evaluating the generated residuals.The proposed diagnosis strategies have been verified using the experimental data which cover a set of representative faults and different PEMFC stacks. The preliminary online implementation results with an embedded system are also supplied

This master’s thesis deals with online diagnostics of the machine tool and marginal analysis of surface texture. The first part of the thesis deals with problems theoretically, there are described the machine tools, maintenance, methods of technical diagnostics, specifically online vibrodiagnostic systems and an overview of profile and area parameters. In the practical part, two test samples created under ideal and degraded conditions. In the practical part, two signal processing processes under ideal and degraded conditions are compared using signal analysis from an online vibrodiagnostic system and surface texture analysis. Part of the work is the evaluation of the performed analyzes and recommendations for practice.

Cette thèse contribue au développement des recherches dans le domaine du Pronostic et Health Management : gestion de l’état de santé des systèmes complexes. Dans un contexte de management opérationnel et de sûreté de fonctionnement des systèmes, nous proposons d’étudier comment la modélisation par un Modèle Graphique Probabiliste Dynamique (MGPD) permet le diagnostic de l’état de santé courant d’un système, le pronostic de cet état et de l’évolution des dégradations, ainsi que l’estimation de sa durée de vie résiduelle en fonction de ses conditions opérationnelles. La dégradation des composants est en général inconnue et nécessite un arrêt du système pour être observée. Cependant, cela est difficile, voire impossible, durant l’exploitation du système. Néanmoins, un ensemble de grandeurs observables sur le système ou le composant peut caractériser le niveau de dégradation et faciliter l’estimation de la durée de vie résiduelle du composant et du système. Les MGPD offrent une approche adaptée à la modélisation de l’évolution de l’état de santé des systèmes et des composants. Nous étendons la modélisation classique des modèles de la famille des HMM vers les IOHMM pour permettre une propagation temporelle de l’incertitude afin de résoudre le problème de pronostic de l’état de santé et de l’estimation de la durée de vie résiduelle. Cette recherche comprend l’extension des algorithmes d’apprentissage et d’inférence appliqués aussi bien dans le cas d’un composant que pour un système structuré. Cette thèse a pour but de contribuer à lever les verrous scientifiques suivants : - Considérer l'état de santé du système par un modèle stochastique et apprendre les paramètres du modèle à partir des mesures disponibles sur le système. - Établir un diagnostic de l’état de santé du système et le pronostic de son évolution en intégrant plusieurs conditions opérationnelles. - Estimer la durée de vie résiduelle des composants et des systèmes structurés (série, parallèle) à partir de ses composants. L’enjeu est majeur, car le pronostic de la dégradation des composants du système permet de définir des stratégies soit de pilotage soit de maintenance par rapport à la durée de vie résiduelle du système. Cela permet la réduction de la probabilité d’occurrence d’un arrêt pour cause de dysfonctionnement du système, soit en ajustant la vitesse de dégradation pour s’accorder à un plan de maintenance préventif, soit en planifiant les interventions de maintenance de manière proactive
This thesis contributes to prognosis and health management for assessing health condition of complex systems. In the context of operational management and operational safety of systems, we propose to investigate how Dynamic Probabilistic Graphical Modelling (DPGM) can be used to diagnose the current health state of systems, prognostic the future health state, and the evolution of degradation, as well as estimate its remaining useful life based on its operating conditions. System degradation is generally unknown and requires shutting down the system to be observed. However, this is difficult or even impossible during system operation. Though, a set of observable quantities on a system or component can characterise the level of degradation and help to estimate the remaining useful life of components and systems. The DPGM provides an approach suitable for modelling the evolution of the health state of systems and components. The aim of this thesis is to transpose and capitalize on the experience of these previous works in a prognostic context on the basis of a more efficient DPGM taking into account the available knowledge on the system. We extend the classical HMM family models to the IOHMM to allow the time propagation of uncertainty to address prognostic problems. This research includes the extension of learning and inference algorithms. Variants of the HMM model are proposed to incorporate the operating environment into the prognosis. The aim of this thesis is to contribute to solving the following scientific locks: - Considering the state of health whatever the complexity of the system by a stochastic model and learning the model parameters from the available measurements on the system. - Establish a diagnosis of the state of health of the system and the prognosis of its evolution by integrating several operational conditions. - Estimate the remaining useful life of components and structured systems with series and parallel components. This is a major challenge because the prognosis of the degradation of system components makes it possible to define strategies for either control or maintenance in relation to the residual life of the system. This allows the reduction of the probability of occurrence of a shutdown due to a system malfunction either by adjusting the degradation speed to fit in with a preventive maintenance plan or by proactively planning maintenance interventions

Dissertation (Ph.D)--University of Stellenbosch, 1999.
ENGLISH ABSTRACT: System identification has been sufficiently formalized for linear systems, but not for empirical identification of non-linear, multivariate dynamic systems. Therefore this dissertation formalizes and extends non-linear empirical system identification for the broad class of nonlinear multivariate systems that can be parameterized as state space systems. The established, but rather ad hoc methods of time series embedding and nonlinear modeling, using multilayer perceptron network and radial basis function network model structures, are interpreted in context with the established linear system identification framework. First, the methodological framework was formulated for the identification of non-linear state space systems from one-dimensional time series using a surrogate data method. It was clearly demonstrated on an autocatalytic process in a continuously stirred tank reactor, that validation of dynamic models by one-step predictions is insufficient proof of model quality. In addition, the classification of data as either dynamic or random was performed, using the same surrogate data technique. The classification technique proved to be robust in the presence of up to at least 10% measurement and dynamic noise. Next, the formulation of a nearly real-time algorithm for detection and removal of radial outliers in multidimensional data was pursued. A convex hull technique was proposed and demonstrated on random data, as well as real test data recorded from an internal combustion engine. The results showed the convex hull technique to be effective at a computational cost two orders of magnitude lower than the more proficient Rocke and Woodruff technique, used as a benchmark, and incurred low cost (0.9%) in terms of falsely identifying outliers. Following the identification of systems from one-dimensional time series, the methodological framework was expanded to accommodate the identification of nonlinear state space systems from multivariate time series. System parameterization was accomplished by combining individual embeddings of each variable in the multivariate time series, and then separating this combined space into independent components, using independent component analysis. This method of parameterization was successfully applied in the simulation of the abovementioned autocatalytic process. In addition, the parameterization method was implemented in the one-step prediction of atmospheric N02 concentrations, which could become part of an environmental control system for Cape Town. Furthermore, the combination of the embedding strategy and separation by independent component analysis was able to isolate some of the noise components from the embedded data. Finally the foregoing system identification methodology was applied to the online diagnosis of temporal trends in critical system states. The methodology was supplemented by the formulation of a statistical likelihood criterion for simultaneous interpretation of multivariate system states. This technology was successfully applied to the diagnosis of the temporal deterioration of the piston rings in a compression ignition engine under test conditions. The diagnostic results indicated the beginning of significant piston ring wear, which was confirmed by physical inspection of the engine after conclusion of the test. The technology will be further developed and commercialized.
AFRIKAANSE OPSOMMING: Stelselidentifikasie is weI genoegsaam ten opsigte van lineere stelsels geformaliseer, maar nie ten opsigte van die identifikasie van nie-lineere, multiveranderlike stelsels nie. In hierdie tesis word nie-lineere, empiriese stelselidentifikasie gevolglik ten opsigte van die wye klas van nielineere, multiveranderlike stelsels, wat geparameteriseer kan word as toestandveranderlike stelsels, geformaliseer en uitgebrei. Die gevestigde, maar betreklik ad hoc metodes vir tydreeksontvouing en nie-lineere modellering (met behulp van multilaag-perseptron- en radiaalbasisfunksie-modelstrukture) word in konteks met die gevestigde line ere stelselidentifikasieraamwerk vertolk. Eerstens is die metodologiese raamwerk vir die identifikasie van nie-lineere, toestandsveranderlike stelsels uit eendimensionele tydreekse met behulp van In surrogaatdatametode geformuleer. Daar is duidelik by wyse van 'n outokatalitiese proses in 'n deurlopend geroerde tenkreaktor getoon dat die bevestiging van dinamiese modelle deur middel van enkelstapvoorspellings onvoldoende bewys van die kwaliteit van die modelle is. Bykomend is die klassifikasie van tydreekse as 6f dinamies Of willekeurig, met behulp van dieselfde surrogaattegniek gedoen. Die klassifikasietegniek het in die teenwoordigheid van tot minstens 10% meetgeraas en dinamiese geraas robuust vertoon. / Vervolgens is die formulering van In bykans intydse algoritme vir die opspoor en verwydering van radiale uitskieters in multiveranderlike data aangepak. 'n Konvekse hulstegniek is V:oorgestel en op ewekansige data, sowel as op werklike toetsdata wat van 'n binnebrandenjin opgeneem is, gedemonstreer. Volgens die resultate was die konvekse hulstegniek effektief teen 'n rekenkoste twee grootte-ordes kleiner as die meer vermoende Rocke en Woodrufftegniek, wat as meetstandaard beskou is. Die konvekse hulstegniek het ook 'n lae loopkoste (0.9%) betreffende die valse identifisering van uitskieters behaal. Na aanleiding van die identifisering van stelsels uit eendimensionele tydreekse, is die metodologiese raamwerk uitgebiei om die identifikasie van nie-lineere, toestandsveranderlike stelsels uit multiveranderlike data te omvat. Stelselparameterisering is bereik deur individuele ontvouings van elke veranderlike in die multidimensionele tydreeks met die skeiding van die gesamenlike ontvouingsruimte tot onafhanklike komponente saam te span. Sodanige skeiding is deur middel van onafhanklike komponentanalise behaal. Hierdie metode van parameterisering is suksesvc1 op die simulering van bogenoemde outokatalitiese proses toegepas. Die parameteriseringsmetode is bykomend in die enkelstapvoorspelling van atmosferiese N02-konsentrasies ingespan en sal moontlik deel van 'n voorgestelde omgewingsbestuurstelsel vir Kaapstad uitmaak. Die kombinasie van die ontvouingstrategie en skeiding deur onafhanklike komponentanalise was verder ook in staat om van die geraaskomponente in die data uit te lig. Ten slotte is die voorafgaande tegnologie vir stelselidentifikasie op die lopende diagnose van tydsgebonde neigings in kritiese stelseltoestande toegepas. Die metodologie is met die formulering van 'n statistiese waarskynlikheidsmaatstaf vir die gelyktydige vertolking van multiveranderlike stelseltoestande aangevul. Hierdie tegnologie is suksesvol op die diagnose van die tydsgebonde verswakking van die suierringe in 'n kompressieontstekingenj in tydens toetstoestande toegepas. Die diagnostiese resultate het die aanvang van beduidende slytasie in die suierringe aangedui, wat later tydens fisiese inspeksie van die enjin met afloop van die toets, bevestig is. Die tegnologie sal verder ontwikkel en markgereed gemaak word.

The thesis deals with the use of tribodiagnostics in predictive maintenance in corporate practice. It is generally dealt with maintenance, then tribodiagnostics in the company Škoda Auto a.s. Used offline and online diagnostic tools are described. Emphasis is placed on verifying the functionality of the newly purchased online filter unit. The experimental part is focused on detailed analysis of the above, including comparison of measurement results offline and online diagnostics. There is also an economic evaluation of savings obtained by operation the online filter unit. In conclusion, the tribodiagnostics recommendations are given for Škoda Auto a.s.

碩士
國立臺灣師範大學
工業教育學系
104
In the Internet era IT and internet technology use in teaching and learning change the learning process. There are many systems on the market but most of the systems only focus on examines and teachers receive the result. In order to assist teachers’ teaching and enforcement students’ learning this system establish a platform allows teachers and students communication in the system. The system divided into three jurisdiction patterns the students carrier, the teacher carries and the management carries also included wired evaluates, the question bank edit, the examination paper edit, the test question edition, the test question diagnostic analysis, result processing, the result diagnostic analysis, the prompt back coupling, the class and grade account number management, the system administration as well as the teaching discussion area function, then in enhancement study efficiency. The findings discovered that, users after on-line evaluation diagnosis system practice analysis, the student’s learning result shows obvious progression, also by master learning, repeat practicing and discussion via this system students gain more knowledge to enforcement their learning result.

碩士
臺中技術學院
資訊科技與應用研究所
97
Today, humans are engrossed with the quality of life. Aesthetics beauty and color are gradually becoming an integral part of life. Anything beauty requires color presentation and design; and it is human nature to be preoccupied with outward beauty. However, there are individuals who do not have the abilities to match the right color scheme to suit one’s personal quality and have to rely on beauty consultation centers. The need to continuously seek consultations on suitable cosmetic colors and dressing are expensive and time consuming. To the average worker it is not simply expensive but also inconvenient. The gene color (G-Color) is a concept based on genetic characteristics which was used by the modern beauticians to advise clients on the proper color scheme for cosmetic applications and dressings. The advice was made based on the individual client’s personal traits and facial features. In this research, a G-Color MSN robot was developed to make online color gene diagnostics. The system is based on the MSN instant messaging. Members signed on to the G-Color MSN robot to input personal traits and facial features which was in “question-and-answer” mode where a diagnostic was made on the suitable color scheme for the individual. The G-Color MSN robot is easy to use and users may use the robot anytime-anywhere to get diagnostics without having to pay high consultant fees. Experimental testing is conducted in two parts. The first part compared diagnostic results from an expert and G-Color MSN robot. The comparisons showed accuracy to be 80.95%. In the second part, comparisons between SVM and the G-Color MSN robot showed an accuracy of 80%. Experimental results showed that the G-Color MSN robot can be used for G-Color consultation. It also shortens the time required for consultation and is free. Furthermore, the G-Color MSN robot may be used in beauty salons by beauticians to recommend the suitable color schemes for an individual.

碩士
逢甲大學
自動控制工程所
100
During the last several decades, there has been a dramatic increase in the number of publications on computer-assisted diagnostic system of traditional Chinese medicine (TCM). The relevant equipments and diagnostic systems in recent years had increased noticeably. However, the data could not communicate between different systems, due to the difference in the data format. Therefore, the aim of this research is to develop an interactive online diagnostic platform of traditional Chinese medicine with a function of multimedia data mining system. This model provided the fundamentals of data format, database, online platform, interaction, and data mining functions. We have developed the web-based interactive online diagnostic platform for TCM, and the platform provides the user can share the data in a standard format. To conclude, through this model of interactive and data exchange for multimedia data of TCM, the system can be helpful to provide the fundamental service of data management, data exchange, and data mining.

碩士
國立高雄第一科技大學
電子工程研究所
100
In this thesis, a smart integrated circuit (IC) and system is proposed for renewable energy harvester designs. In this design, an 8-bit microcontroller chip is used to sense and transform the voltages and currents of a solar panel, a wind turbine, and a battery into digital output values. These output values are calculated in the microcontroller chip to build the maximum power point tracking and charging algorithm. A smart charger IC is then designed to follow the microcontroller’s output command to control the solar panel or the wind turbine at the maximum power point, and also to charge the battery at an effective mode with the proposed power converter. The proposed IC is then combined with the microcontroller chip to implement the renewable energy harvester. The operating information of the solar panel, wind turbine, energy harvester, and the battery will be transferred to a notebook computer through the RS232 interface of the microcontroller chip, so that the proposed design and management tool can judge the system''s operating conditions and make appropriate maintenance decisions. Two chips are finished in this thesis. All of the chips had been taped out through the design flow of the Chip Implementation Center (CIC). Then, the chips are fabricated with TSMC 0.35μm 2P4M 3.3V/5V mixed-signal process. These chips are smart charge pulse-width modulator (SCPWM) IC, P-V charge pulse-width modulator (PCPWM) IC, respectively. The chip area of SCPWM is about 0.98*0.98 mm2. The chip area of PCPWM is about 0.98*0.98 mm2.

碩士
臺中健康暨管理學院
資訊工程學系碩士班
93
The study of math emphasizes the understanding of all the concepts in their entirety and their cross-application. In teaching math, it’s also perceived that math concepts are strongly connected: if a student has any misconception regarding any of the concepts, it will affect his math learning in the future; when lots of misconceptions are formed, it would be difficult to identify his learning problems, which may result in severe learning barriers. This study focuses on the curriculum taught in a middle school, using the solution to a system of linear equations as an example. It develops a computerized adaptive test based on students’ knowledge structure, which takes less time than the traditional ones in helping a student discover his weakness in math learning by identifying the concepts that he is confused with. With the prevalence of computers, integrating computers into classroom teaching becomes an important topic in education. With the online-diagnosing system, students can take the test whenever they like. The real-time result allows the student to immediately grasp his own learning situation, and the instant feedback allows the teacher to understand the student’s situation more easily too. This can be taken as a reference to improve a teacher’s teaching skills by the adjustment of his teaching pace and style in order to provide the remedial education.

碩士
國立臺灣師範大學
工業教育學系
103
This thesis is using Knowledge Map as the fundamental to construct an On-Line examination system of the Basic Electricity for the students who study Electrical Engineering in the vocational high schools. The Aptana Studio 3 was taken as the web integration development environment to adopt HTML、JavaScript、JQuery、MySQL、PHP and CSS etc. programs to develop this On-Line examination system. Examination and assessment both are the im-portant steps of learning for the students. In the past, their learning effect was assessed by the scores from examination only. However the teachers could not give any suggestion to improve their learning effect based on those scores. Therefore, this system will provide Knowledge Map of the Basic Electricity as the learning reference for the students. Through it, the students will understand the basic knowledge of Electrical Engineering much easily. Also they will understand what kind of prior knowledge they should equip before learning a new technology. The feature of this system is not only it can calculate the students’ scores immediately after examination, but also it will diagnose, assess and analogize the learning effect from students’ answers to suggest them to improve the prior knowledge they are lacking to increase their learning ability efficiently.

碩士
亞洲大學
資訊工程學系碩士班
95
This research used 7 indicators of mathematical field of grade 4 and 5 in elementary school as an example to study if Bayesian networks combining knowledge structure can effectively diagnose the students’ mistaken types. It also developed a set of on-line diagnostic test based on mathematical indicator of Grade 1-9 Curriculum and remedial instruction system to allow the students to immediately find their test results through on-line diagnostic test and have on-line remedial instruction according to diagnostic report. The research expected to reach the effects of evaluation, diagnosis and remedial instruction. The research findings are below: 1. Bayesian networks reveal good results when diagnosing fraction-related indicators and they can lead to satisfying identification rate; Bayesian networks adding knowledge structure have better identification rate than the model of Bayesian networks. 2. The predicted scores of computerized adaptive diagnostic test are higher than those of complete answers. However, the former reveals certain predication rate which can save not only the tests, but also the test time. The test can also immediately diagnose the students’ mistaken types and sub-skills. 3. After computerize adaptive remedial instruction the students’ performance improves significantly which shows the significant effect of computerize adaptive remedial instruction.

碩士
國立臺中教育大學
教育測驗統計研究所
100
The constructed-response items can collect the students' problem solving, including all actions while problem solving, so it is suitable to analyze the error types. In the " exponential laws and scientific notations " unit of math subject, students have many misconceptions. If the questions are "multiple-choice types", students can solve by guessing, teachers can not know what error types the students have. This research is base on constructed-response items to build a " exponential laws and scientific notations " diagnostic test system. With practicing, record the problem solving processes to analyze the students' error types. The study result gives: a. The diagnostic test system of this research can record the problem solving processes, analyze the students' error types, and score automatically. b. The reliability of added constructed-response items is better than the multiple-choice types (0.890 < 0.894). Therefore, in the case of the same test length, if the questions can be added a part of constructed-response items, the reliability will be higher. c. We can obtain more students' answering responses from the constructed-response items than the multiple choice questions. d. The development- “automatic analyzing constructed-response items model” of this thesis can identify the error type attaining to 100% accuracy, and the performance is excellent. On the identification of sub-skills, and error types, rhe Bayesian network which is combined the multiple choice questions with the solving responses of the constructed-response items is better than the traditional one.

碩士
國立交通大學
電控工程研究所
104
Nowadays, Permanent-Magnet (PM) motors are utilized widely in human being’s daily life. However, several kinds of faults may occur in PM motors. Demagnetization fault is one of the faults existing in PM motors and it means that the magnetism of permanent magnets in PM motors decreases prominently. In this thesis, a system of PM motor monitoring and online demagnetization fault diagnosis is proposed. The online demagnetization fault diagnosis system is based on Back Electromotive Force (BEMF) constant which is proportional to the magnetism of permanent magnets. The BEMF constant is able to be estimated by means of the electric models of PM motors. In this way, the diagnosis of demagnetization fault can be applied in online condition while many methods such as Finite Element Analysis (FEA) and Time-Frequency Analysis (TFA) are difficult to be implemented when a PM motor is in service. The conventional approach of BEMF constant estimation has some drawbacks including bad performance when a PM motor is in low speed. Besides, the traditional way is not capable of being used when loading is added to a PM motor. Contraposing these deficiencies, the approach proposed in this thesis is going to take advantage of regression models to figure them out via Least Square Estimate (LSE). The regression models can eliminate the impact caused by loading and friction noise. The consequent experiments will prove that the regression models can improve the accuracy of estimating BEMF constant effectively when a PM motor is not only in loading condition but also in low speed. The motor monitoring system combined with ARM boards, PCs and mobile phones is able to offer users and manufacturers data remotely, which can meet their different kinds of needs. In addition, the system also provides the estimation of BEMF constant with the data of PM motor in real time. Owing to lacking the function of demagnetization fault diagnosis in most inverters presently, the system addressed in this thesis is likely to be associated with the inverters for PM motors’ monitoring and diagnosis in the future.

碩士
國立中興大學
畜產學系
91
The purpose of this study was to develop a decision support system of searching and preliminary diagnosis on chicken diseases online for poultry men. It is expected to go through web convenience and to let users could receive relevant information on chicken diseases more conveniently and to assist them to understand and learn about knowledge of chicken diseases. The system used Microsoft Windows 2000 Server operation system, and was written in ASP (Active Server Pages) programming language with Microsoft Access database. This system was mainly divided into six sections in terms of chicken external illustration, chicken disease searching system, chicken disease diagnosis system, chicken disease index, relevant web resources and system manual. The section of chicken external illustration offered each appellation and pictorial illustration of chicken, users could easily to search and to learn chicken information. The section of chicken disease system was divided into two parts regarding chicken disease searching and pictorial symptoms. The part of chicken disease searching includes five parts including virus, bacteria, nutrition or metabolism, protozoa and toxin based on causality, and collected 32 common diseases for chicken farm in Taiwan to provide farmers to search according to classification of the system. The collection list of relevant information of chicken disease in this system concerns pathogenesis and classification, onset season and main attack age, transmission, clinical sign and remedial recommendation and prevention. The classification manner of pictorial symptom was similar to the part of chicken disease searching, and collected 44 color pictures of different type to make as an assisted reference to identify chicken diseases. The section of preliminary diagnosis system on chicken diseases separated apparent clinical sign into eight sections in terms of general, appearance or feather, comb or wattles, respiration, nerve, digestion or excretion, chicken onset age and chicken species. User could therefore select each symptom according to description. The system could preliminarily diagnose possible diseases and relative rank of weighted value in chicken farms and illustrated the basis and reasons of inference. Users could thus understand relevant information in chicken diseases and use it as a tool for making support decision. The part of chicken disease index offered each relevant index on chicken diseases in Chinese and English, and could search according to classification of the system. The part of relevant web resources offered relevant websites of animal science and veterinary medicine, academic units, and animal preventive centers of each county in Taiwan. In order to make users to handle this system quickly, a manual was also provided. This system combines the feature of Internet convenience with simple operation, users could get relevant information of chicken diseases more diversified.

碩士
國立中興大學
動物科學系所
100
The purpose of this study was to develop an online decision support system of searching and preliminary diagnosis on goose for goose farm through apparent symptoms and assist farmers to learn about epistemology of goose diseases. This system used Microsoft Windows Server 2003 operation system, and was written in ASP.NET 3.5 programming language coordinated with Microsoft Access 2007 database. This system was mainly divided into six sections in terms of goose diseases searching system, goose disease diagnosis system, goose disease index, relevant web resources, system manual and contact programmer. The searching system was separated into five parts regarding clinical examination of goose diseases, breed of goose, goose disease videos, classification of goose diseases and goose disease pictures. The section of classification of goose diseases includes six parts concerning virus, bacteria, fungus, parasite, metabolic disorders and toxic. The section of goose disease index offered three parts including goose diseases in the system, communicable disease and zoonoses, user could search goose disease according to classification of this system. The relevant web provides related websites of goose diseases, animal science and veterinary medicine, academic units and animal disease control centers at each county in Taiwan. The system collected 40 common goose diseases for goose farm in Taiwan and collected different types of color pictures to make as an assisted reference to identify goose diseases. In preliminary diagnosis system, apparent clinical symptoms were separated into six main parts in terms of general, skin/feather, respiratory, digestive/excretive, nervous, and attack age/season. User could choose different icon according to observed symptom. The system could thus preliminarily diagnose possible diseases and summed up weighted values and rankings accordingly. The system can help users to preliminarily diagnose goose diseases through their past experiences and acquire related goose knowledge.

碩士
國立中興大學
動物科學系所
101
Ostrich farming is an important industry in many countries; however the disease is one of serious threats to this industry. Therefore, the purpose of this study was to develop an online decision support system of searching and preliminary diagnosis on ostrich diseases to assist industry and academia to get the knowledge about ostrich diseases, diagnose the possible disease through the apparent symptoms, and carry out appropriate treatments in time. This system used Microsoft Windows Sever 2003 R2 operation system, and was written in ASP.NET 4.0 programming language coordinated with Microsoft Access 2010 database. The main structure of the system was divided into six parts including ostrich disease searching system, ostrich disease preliminary diagnosis system, ostrich disease index, relevant websites, system manual, and contact programmer. The searching system was separated into eight parts containing classification of ostrich diseases, ostrich disease pictures, leg problems of ostrich chick, restraint methods, inspection methods, ostrich anatomy, related videos, and ostrich breeds. The section of index of ostrich disease provides ostrich diseases of the system, classification of infectious diseases, and zoonotic diseases. The section of system manual contains user’s manual, website map, and notice. Users can search disease by classifications divided into seven categories comprising viral, bacterial, fungal, parasitic, general, poisoning, and nutritional ostrich disease. Some information about definition and etiology, clinical symptoms and their pictures, and prevention and treatment methods of the disease are then provided. The total weighted value of every disease representing the possibility was calculated by the disease preliminary diagnosis system according to the checked symptoms from 116 symptoms. Those symptoms were categorized into seven parts including general, nervous/skeletal, skin/feather, respiratory, digestive/excretive, production/reproduction, and age of onset/course of disease. The weighted values were then ranked by score order. The view of weighted values not only provides the proportion of every symptom’s weighted value in the disease but also displays with a pie chart. The diagnosis system was validated by 14 ostrich disease cases and the results showed that the mean of consistent rate of checked symptoms, weighted value rankings and accuracy rate were 84.49%, 1.21, and 85.71%, respectively, and showed that this system already has a preliminary practicality. It is expected that through the network to facilitate ostrich farmers improve their knowledge about ostrich diseases and measure of disease prevention, and to achieve the objective of reducing economic losses caused by diseases and improve productivity of the ostrich industry.

碩士
國立中興大學
動物科學系所
97
The purpose of this research was to develop an online decision support system through symptom search and preliminary diagnosis for duck diseases. Farmers could then make use of this system to determine the possible duck illness via Internet. It is expected to take advantage of web convenience and let users receive relevant information regarding duck diseases more conveniently and to assist them to understand and learn about knowledge of duck diseases. This system used Microsoft Windows Server 2003 operation system and was written with ASP.NET 2.0 (Active Server Pages.NET 2.0) coordinated with Microsoft Access 2007 Database. The system structure and component, such as database, knowledge base and image base and functional description are included in this system. This system was mainly divided into nine sections in terms of basic information, diagram of duck, breed of duck, duck video, duck disease classification, duck disease diagnosis system, link to related sites, contact us, and manual. Users could easily search and learn duck basic information in the first section. The section of diagram of duck offered external illustration on each appellation and pictorial illustration of duck. The section of duck breed includes three types regarding small breed, light breed, and heavy breed to assist users to learn duck breed information concerning origin, general characteristics, weight, color, and breed tips. The section of duck disease classification includes seven parts regarding virus, bacteria, fungus, nutrition, parasite, toxin and miscellaneous diseases. This system collected 39 common diseases for duck to provide farmers to search according to classification of the system. The section of preliminary diagnosis system on duck diseases separated apparent clinical symptoms into nine sections in term of general, head or neck, eyes, skin or feathers, leg or wing, nerve, respiratory, dropping, and egg production. The relevant information of duck diseases collected in this system concerns pathogenesis and classification, clinical symptom, main attack age, treatment and prevention. Users could select symptom according to description that observed from duck at first. The system will then assist user to do preliminary diagnosis to give possible diseases, relative rank of weighted value, and reasons of inference. Users could therefore understand relevant information and suggestion, appropriate treatments are also provided. The part of link to related sites offered relevant websites of duck health. If users have any questions, suggestions, and comments, they could show their opinion in the part of contact us. In order to make users to handle this system quickly, a manual was also provided. This system combines the feature of Internet convenience with simple operation, users could get relevant information of duck diseases more diversified.

碩士
國立中興大學
動物科學系所
97
The purpose of this study was to develop an online decision support system of searching and preliminary diagnosis on dairy cattle diseases to assist dairy farmers to diagnose dairy cattle disease through apparent symptoms. This system used Microsoft Windows Server 2003 operation system, and was written in ASP.NET 2.0 programming language coordinated with Microsoft Access 2007 database. This system was divided into six sections in terms of cattle disease searching system, cattle disease preliminary diagnosis system, cattle disease index, relevant web resources, system manual and contact programmer. The cattle disease searching system was separated into four parts regarding introduction to classification of cattle diseases, similar symptom diseases, cattle disease pictures and cattle disease videos. The introduction to classification of cattle diseases includes ten parts concerning virus, bacteria and spirochete, diseases of digestive system, metabolic disorders, reproductive disorders, diseases of the foot, udder diseases, protozoa, specific pathogenesis infectious diseases and poisonings, and collected 50 common cattle diseases. User could search and understand pathogenesis and classification, onset season and main attack age, clinical signs and remedial recommendation and prevention. The part of similar symptom diseases collected 21 types of classificatory diseases that have same or similar symptoms. The classification manner of cattle disease pictures was similar to the part of introduction to classification of cattle disease, and collected 128 color pictures to make as an assisted reference to identify cattle diseases. The part of cattle disease videos collected 10 videos about reproductive disorders and prevention of cows to assist users search and understand related information. In preliminary diagnosis system, apparent clinical symptoms were broken into seven parts in terms of general, skin/body, respiratory, digestive/excretive, locomotive/nervous, reproductive, and attack age. Users could choose symptoms what they observed in this list. The system calculated accordingly and summed up weighted value in different symptoms of individual diseases, and showed top ten possible diseases sorted by sum of weighted value. The report also could show belief percentage of top ten possible diseases by a pie chart and illustrate the basis and reasons of inference. The system gives information on the disease and recommends how to deal with it, and assists user to know the disease and do what they should do in time. The part of cattle disease index offered three parts of cattle diseases in Chinese and English concerning the diseases in the system, communicable disease and zoonosis, and could search according to classification of the system. The part of relevant web resources offered relevant websites of animal science and veterinary medicine, academic units, animal disease control centers at each county in Taiwan, related animal laws, and related foreign websites. By the convenience of network today, this system will become an useful tool for making support decision to help users to search and preliminarily diagnose cattle diseases online.

碩士
國立中興大學
動物科學系所
100
The purpose of this study was to establish an online decision support system of searching and preliminary diagnosis on goat and sheep diseases and to assist farmers to diagnose the possible disease through the apparent symptoms. This system used Microsoft Windows Server 2003 operation system, and was written in ASP.NET 3.5 programming language coordinated with Microsoft Access 2007 database. The main structure of the system was divided into six parts including using system, preliminary diagnosis system, disease index, relevant websites, manual and contact programmer. Items of the system include seven sections concerning common sheep and goat breeds in Taiwan, sheep and goat diseases of the system, diseases with similar symptoms, pictures of goat and sheep diseases, inspection methods of goat and sheep, index of goat and sheep diseases and the related videos of goat. The user can search by the classification of sheep or goat to obtain the breed information via the section of common sheep and goat breeds in Taiwan. The sheep and goat diseases of the system have a totally twelve items including virus, bacteria and spirochete, parasite and protozoa, fungi, specific pathogenesis infectious disease, diseases of digestive system, metabolic diseases, lamb’s disease, udder disease, reproductive disorder, hoof disease and poisoning. Users can search disease by classifications and get the definition and etiology, the incidence of the season and age, clinical symptoms and their pictures and prevention methods of the disease. The section of diseases with similar symptom provides six kinds of difficult to distinguish between similar or the same symptoms of the diseases; user can therefore find the introduction of symptom-like disease group according to classification of symptoms. The section of pictures of goat and sheep diseases assorts twelve classifications of disease; user can view pictures of the disease by the classifications. The section of inspection methods of goat and sheep provides references of how to inspect symptoms of goat and sheep and to help users pick out doubtful infection animals. The section of index of goat and sheep diseases provides goat and sheep diseases of the system, common goat and sheep diseases in Taiwan, zoonotic diseases of goat and sheep and classification of goat and sheep infectious diseases. The automation of goat industry was introduced on the section of the related videos of goat. In the preliminary diagnosis system, clinical symptoms are divided into seven groups in terms of general symptoms, respiratory, locomotive and nervous, age of onset, reproductive, digestive and excretive and skin and body. User can choose clinical symptoms discovered on the site and select the symptoms on the form. The results of preliminary diagnosis and the sum of the calculation of the weighted values according to the symptoms corresponding with different diseases are then produced. Finally the system lists possible diseases and ranking score by sum of weighted values and offers the disease-related information. The view of weighted values provides the proportion of every symptom’s weighted value in the disease and also presents with the pie chart to assist user to understand the weighted value of each symptom for specific disease. The relevant websites offer related academic units and government agency associations of domestic and foreign animal science, disease prevention units and animal-related laws

博士
國立高雄科技大學
電機工程系
107
The purpose of this dissertation is to establish a online monitoring and diagnosis system which integrates the meteorological data and the leakage current data of surge arresters. The proposed system can make real-time monitoring and diagnosis of the operating conditon of surge arresters and provide a reference for the maintenance of surge arresters in the system of Taiwan Power Company. First of all, by comparing the advantages and disadvantages of the current on-line detection technologies for surge arresters, this study finds out the most suitable method as the theoretical basis. Furthermore, the embedded system and microprocessor technology are used to develop a online monitoring and processing unit with 3G/4G mobile communication function, which can transmit the collected surge arrester indicator information to the back-end server host for data storage. Besides, the back-end platform of the system in web-based architecture is also developed, which has a friendly man-machine interface that can immediately and long-term monitor various characteristics indicators of surge arresters, including the third order harmonic current, resistive leakage current, total leakage current, lightning strike number, temperature, and humidity. In addition, when any indicator exceed the limit, an alarm message will be sent to notify the maintenance staff immediately through artificial intelligence processing. Finally, two demonstration sites are selected to install the proposed system, and the test results validate its feasibility and effectiveness.