Dissertations / Theses on the topic 'Hardware identification'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 27 dissertations / theses for your research on the topic 'Hardware identification.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
Krantz, Elias. "Experiment Design for System Identification on Satellite Hardware Demonstrator." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71351.
Full textLinvåg, Elisabeth. "Co-design implementation of FPGA hardware acceleration of DNA motif identification." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8874.
Full textPattern matching in bio-informatics is a discipline in sturdy growth, and has a great need for searching through large amounts of data. At NTNU, a prototype specified in VHDL has been developed for an FPGA-solution identifying short motifs or patterns in genetic data using a Position-Weight Matrix (PWM). But programming FPGAs using VHDL is a complicated and time consuming process that requires intimate knowledge of how hardware works, and the prototype is not yet complete in terms of required functionality. Consequently, a desirable alternative is to make use of co-design languages to facilitate the use of hardware for a software developer, as well as to integrate the environment for development of soft- and hardware. This thesis deal with specification and implementation of a co-design based alternative to the existing VHDL based solution, as well as an evaluation of productivity vs final performance of the newly developed solution compared to the VHDL based solution. The chosen co-design language is Impulse-C, created by Impulse Accelerated Technologies Inc., which is a co-design language designed for data-flow oriented applications, but with the flexibility to support other programming models as well. The programming model simplifies the expression of highly parallel algorithms through the use of well-defined data communication, message passing and synchronization mechanisms. The affiliated development environment, CoDeveloper, contains tools that allow the FPGA system to be developed and debugged using Impulse-C. The software-to-hardware compiler and optimizer translates C-language processes to (RTL) VHDL code, while optimizing the generated logic and identifying opportunities for parallelism. Ease-of-use for the CoDeveloper environment is evaluated in this thesis, based on the authors experiences with the tools. In total, four variations of the Impulse-C solution has been implemented; a basic solution and a multicore solution, both implemented in a floating-point and a 'fixed-point' version. The implemented solutions are analyzed through various experiments described in this thesis, done during simulation using CoDeveloper. Attempts were made to get the solutions to run on the target platform, the Cray XD1 supercomputer Musculus, but these were unsuccessful. A wrong choice of properties and constraints in Xilinx ISE are believed to have caused the FPGA programming file to be generated faulty. There was no time to confirm and correct this. Some information about device utilization and performance could still be extracted from the Xilinx ISE 'Static timing' and 'Place and route' reports.
Rask, Ulf, and Pontus Mannestig. "Improvement of hardware basic testing : Identification and development of a scripted automation tool that will support hardware basic testing." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3392.
Full textHarder, Timothy A. "Identification of computer hardware and software used by the printing and publishing industry." Menomonie, WI : University of Wisconsin--Stout, 2005. http://www.uwstout.edu/lib/thesis/2005/2005hardert.pdf.
Full textBlack, Derek J. "Development and feasibility of economical hardware and software in control theory application." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/38170.
Full textDepartment of Mechanical and Nuclear Engineering
Dale E. Schinstock
Control theory is the study of feedback systems, and a methodology investigated by many engineering students throughout most universities. Because of control theory's broad and interdisciplinary nature, it necessitates further study by application through experimental learning and laboratory practice. Typically, the hardware used to connect the theoretical aspects of controls to the practical can be expensive, big, and time consuming to the students and instructors teaching on the equipment. Alternatively, using cheaper sensors and hardware, such as encoders and motor drivers, can obfuscate the collected data in a way that creates a disconnect between developed theoretical models and actual system results. This disconnect can dissuade the idea that systems can and will follow a modeled behavior. This thesis attempts to assess the feasibility of a piece of laboratory apparatus named the NERMLAB. Multiple experiments will be conducted on the NERMLAB system and compared against time-tested hardware to demonstrate the practicality of the NERMLAB system in control theory application.
Farias, Marcos Santana. "Hardware reconfigurável para identificação de radionuclídeos utilizando o método de agrupamento subtrativo." Universidade do Estado do Rio de Janeiro, 2012. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=7451.
Full textRadioactive sources include radionuclides. A radionuclide is an atom with an unstable nucleus, i.e. a nucleus characterized by excess of energy, which is available to be imparted. In this process, the radionuclide undergoes radioactive decay and emits gamma rays and subatomic particles, constituting the ionizing radiation. So, radioactivity is the spontaneous emission of energy from unstable atoms. Correct radionuclide identification can be crucial to planning protective measures, especially in emergency situations, by defining the type of radiation source and its radiological hazard. This project introduces the application of subtractive clustering method, in a hardware implemnetation, for an identification system of radioactive elements that allows a rapid and efficient identification. In software implementations, clustering algorithms, usually, are demanding in terms of processing time. Thus, a custom implementation on reconfigurable hardware is a viable choice in embedded systems, so as to achieve real-time execution as well as low power consumption. The proposed architecture for the hardware of subtractive clustering is scalable, allowing for the inclusion of more of subtractive clustering unit that operate in parallel. This provides greater flexibility to accelerate the hardware with respect to the time and area requirements. The results show that the expected cluster center can be identified with efficiently. The identification of these points can classify the radioactive elements present in a sample. Using the designed hardware, it is possible to identify more than one cluster center, which would lead to the recognition of more than one radionuclide in radioactive sources. These results reveal that the proposed hardware to subtractive cluster can be used to design a portable system for radionuclides identification.
Maki, Phyllis A. "Identification of entry-level clerical/secretarial skills and competencies and utilization of hardware and software applications in Clark County businesses." PDXScholar, 1990. https://pdxscholar.library.pdx.edu/open_access_etds/3496.
Full textAykin, Murat Deniz. "Efficient Calibration Of A Multi-camera Measurement System Using A Target With Known Dynamics." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609798/index.pdf.
Full textstate&rdquo
of one or more real world objects. Camera calibration is the process of pre-determining all the remaining optical and geometric parameters of the measurement system which are either static or slowly varying. For a single camera, this consist of the internal parameters of the camera device optics and construction while for a multiple camera system, it also includes the geometric positioning of the individual cameras, namely &ldquo
external&rdquo
parameters. The calibration is a necessary step before any actual state measurements can be made from the system. In this thesis, such a multi-camera state measurement system and in particular the problem of procedurally effective and high performance calibration of such a system is considered. This thesis presents a novel calibration algorithm which uses the known dynamics of a ballistically thrown target object and employs the Extended Kalman Filter (EKF) to calibrate the multi-camera system. The state-space representation of the target state is augmented with the unknown calibration parameters which are assumed to be static or slowly varying with respect to the state. This results in a &ldquo
super-state&rdquo
vector. The EKF algorithm is used to recursively estimate this super-state hence resulting in the estimates of the static camera parameters. It is demonstrated by both simulation studies as well as actual experiments that when the ballistic path of the target is processed by the improved versions of the EKF algorithm, the camera calibration parameter estimates asymptotically converge to their actual values. Since the image frames of the target trajectory can be acquired first and then processed off-line, subsequent improvements of the EKF algorithm include repeated and bidirectional versions where the same calibration images are repeatedly used. Repeated EKF (R-EKF) provides convergence with a limited number of image frames when the initial target state is accurately provided while its bidirectional version (RB-EKF) improves calibration accuracy by also estimating the initial target state. The primary contribution of the approach is that it provides a fast calibration procedure where there is no need for any standard or custom made calibration target plates covering the majority of camera field-of-view. Also, human assistance is minimized since all frame data is processed automatically and assistance is limited to making the target throws. The speed of convergence and accuracy of the results promise a field-applicable calibration procedure.
Senses, Engin Utku. "Blur Estimation And Superresolution From Multiple Registered Images." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609929/index.pdf.
Full textSeyed, Saboonchi Nima. "Hardware Security Module Performance Optimization by Using a "Key Pool" : Generating keys when the load is low and saving in the external storage to use when the load is high." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158122.
Full textDetta examensarbete undersöker prestandabegränsningar för Hardware Security Module (HSM) enheter med avseende på att uppfylla behov av säkerhetstjänster i en snabbt växande marknad och på ett kostnadseffektivt sätt. I synnerhet på grund av de säkerhetskrav som nu existerar/tillkommit efter införandet av ett nytt elektroniskt ID-system i Sverige (Federationen för Svensk eID) och hur underskrifter skapas och hanteras. SafeNet Luna SA 1700 är en högpresterande HSM enhet tillgänglig på marknaden. I den här avhandlingen presenteras nuvarande HSM kapacitet och en omfattande analys av resultatet visar ett prestanda gap mellan vad HSMS för närvarande kan göra och vad som behöver förbättras för att ta itu med de förväntade kraven. En fallstudie fokuserad på nya säkerhetstjänster som krävs i och med Sveriges nya e-Identifiering presenteras. Baserat på resultatet i den här avhandlingen föreslås en optimerad HSM lösning för att tillgodose prestanda gapet mellan vad HSM presterar och de nya krav som ställs. Ett flertal tester genomfördes för att mäta en befintlig HSM prestanda. En analys av dessa mätningar användes för att föreslå en optimerad lösning för HSMS (eller liknande) enheter. Ett av de huvudsakliga kraven för den nya signeringstjänsten är att ha en kapacitet av 50 digitala signaturer inom en accepterad svarstidsintervall, vilket är 300ms vid ordinarie trafik och 3000ms vid högtrafik. Förslagen i avhandlingen möjliggör HSM enheten att tillgodose kraven på 50 signeringen per sekund under två timmars högtrafik, och till en 1/9 kostnad genom att skala upp antalet HSMs. Målgruppen i den här avhandlingen är användare av HSMs och där behovet av lagring och generering av nycklar i höga volymer är stort. Även HSM leverantörer som kan implementera den här optimeringen/lösningen i befintlig funktionalitet för att tillgodose det här behovet i en alltmer växande marknad.
Signorini, Matteo. "Towards an internet of trust: issues and solutions for identification and authentication in the internet of things." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/350029.
Full textThe Internet of Things is advancing slowly due to the lack of trust in devices that can autonomously interact. Standard solutions and new technologies have strengthened its security, but ubiquitous and powerful attackers are still an open problem that requires novel approaches. To address the above issues, this thesis investigates the concepts of identity and authenticity. As regards identity, a new context-aware and self-enforced approach based on the blockchain technology is proposed. With this solution, the standard paradigm focused on fixed identifiers is replaced with an attribute-based identification approach that delineates democratically approved names. With respect to authentication, new approaches are analyzed from both the online and offline perspective to enable smart things in the validation of exchanged messages. Further, a new software approach for online scenarios is introduced which provides hardware-intrinsic properties without relying on any physical element. Finally, PUF technology is leveraged to design novel offline disposable authentication protocols.
Шевчук, Ю. В. "Програмно – апаратний контур для знаходження моделі об’єкта керування саеп та визначення оптимальних характеристик регу-лятора." Thesis, ВНТУ, 2016. http://conferences.vntu.edu.ua/index.php/all-feeem/all-feeem-2016/paper/view/274.
Full textThe approach of the electric drive linearized model determination with the chosen level of the adequacy on the
Uzer, Ferit. "Camera Motion Blur And Its Effect On Feature Detectors." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612475/index.pdf.
Full textBolatli, Yurtseven. "Utility Analysis And Computer Simulation Of Rfid Technologies In The Supply Chain Applications Of Production Systems." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611261/index.pdf.
Full textlowvolume high-value&rdquo
products is considered by focusing on the production processes of a real company. First, the processes of the company are examined and associated problems are determined. Accordingly, a simulation of the current situation is constructed by using the discrete event simulation technique, in order to obtain an accurate model. In addition to modeling the current situation, this simulation model provides a flexible platform to analyze different scenarios and their effects on the company production. Next, various scenarios including RFID technology deployment are examined, and their results are compared with respect to profitanalysis which takes into consideration the changes in the production, work in process (WIP) inventory, stockouts, transportation and initial investment. Finally, the analysis of the results and conclusions are given in order to provide guidance for companies with &ldquo
low-volume high-value&rdquo
product portfolios.
Hentati, Raïda. "Implémentation d'algorithmes de reconnaissance biométrique par l'iris sur des architectures dédiées." Phd thesis, Institut National des Télécommunications, 2013. http://tel.archives-ouvertes.fr/tel-00917955.
Full textШатний, Сергій В'ячеславович. "Інформаційна технологія обробки та аналізу кардіосигналів з використанням нейронної мережі." Diss., Національний університет "Львівська політехніка", 2021. https://ena.lpnu.ua/handle/ntb/56259.
Full text"Hardware Trojans: design and identification." 2014. http://repository.lib.cuhk.edu.hk/en/item/cuhk-1291713.
Full textThesis Ph.D. Chinese University of Hong Kong 2014.
Includes bibliographical references (leaves 179-192).
Abstracts also in Chinese.
Title from PDF title page (viewed on 07, November, 2016).
LIAO, CHEN-TUNG, and 廖振東. "Design of Garlic Identification System using CNN Hardware Acceleration." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/62r7s4.
Full text國立高雄科技大學
電子工程系
107
In the traditional way for processing garlic cloves, the garlic cloves are placed on the conveyor belt and several labors use their eyes to inspect and pick up bad cloves. The process needs more labors to work together, but achieves lower performance and lower identification accuracy. Therefore, the thesis presents a identification system that can screen the garlic cloves automatically. The major function of the system can identify the bad garlic cloves through the image recognition technology and spray them off through the control valve. The system uses a black box on the conveyor belt to isolate the ambient light and install LED (Light Emitting Diode) light as lighting source. Meanwhile, a camera is mounted upon the black box and it transmits the image of garlic cloves to the server. The system utilizes CNN (Convolution Neural Network) algorithm to learn and construct a model with high identification rate. It also uses FPGA (Field Programmable Gate Array) to accelerate the processing speed of identify the quality of garlic clove. The bad cloves can be picked up through the image recognition model and sends the recognition results through the wired network to the client. If bad cloves are identified, the control system of air valve in the client spray them off the conveyor belt. The screening system using CNN algorithm and FPGA acceleration can improve the identification accuracy of garlic cloves and also increase the production efficiency of processing line. It reduces the processing cost of agricultural products and makes the market price of the products more stably. The system achieves high accurate rates of 98% for identifying garlic cloves and 91% for sorting them separately.
Hsieh, Shao-Chien, and 謝紹乾. "Hardware-based Fast Connection Identification Architecturefor TCP/IP Offload Engine." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/89114580573946878984.
Full text國立雲林科技大學
資訊工程研究所
93
In recent years, the rapid evolution of the Internet and technological advances in VLSI such that the bandwidth of Ethernet from 10Mbps improve to Gigabits. If under Gigabits network transition environment, the popular protocol suit in the Internet which the TCP/IP still use conventional software process method, the process performance of a packet is much less than the network bandwidth. Therefore, the protocol process will is the major bottleneck of network transition system. As the result of the above, A new technology which the TCP/IP Offload Engine(TOE) be proposed. In common architecture of TOE, besides amount of offload protocol, the support maximum numbers of connection even more to decide the architecture is bad or good. Furthermore, the support maximum number be depend on the identity ability of connection. This paper besides discuss what is the connection identity in the TOE, and will proposed a faster identification architecture of connection for TOE. Finally, we have evaluates the performance of the proposed architecture through simulation.
Chu, Shu-Han, and 朱書漢. "Hardware/Software Co-Design of a Fuzzy Moving Direction Identification System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/37138530706189465877.
Full text國立臺灣師範大學
應用電子科技學系
100
In this thesis, a hardware and software co-design approach is proposed to develop a fuzzy moving direction identification system using the Altera DE2-70 board and fuzzy logic theory. Under the system architecture of System on the Program Chip (SOPC), we take advantages of the framework of hardware and software co-design, where hardware circuits by Field Programming Gate Array (FPGA) are designed to accelerate the system performance of the historical trajectories of the target image, while direction counts are calculated by the Nios II CPU. A hardware circuit is also design to identify the moving direction of the target object. Experimental results show that the proposed method is able to identify the movement direction of the target direction, providing an interactive man-machine interface to control the operation of the machine. The contents of this thesis can be divided into: (1) proposed algorithm and its implementation by software (2) hardware and software co-design of the proposed algorithm on the Altera DE2-70 development board to accelerate the execution of the proposed algorithm.
Chen, Cheng Lin, and 陳鉦霖. "Software and Hardware Co-design of Computer Aided Impedimetric Epidural Identification Techniques." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ag7f3h.
Full textChen, Shih-Ching, and 陳世卿. "The Relationships Among Dynamic Capabilities, Organization Identification and Competitive Advantages in Hardware Industry." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/g8bwuz.
Full text國立臺中科技大學
企業管理系碩士班
107
The firms of hardware manufacturing industries in Taiwan have been operating in a rapid changing international environment and most of them are lack of supports of resources and talented people compared with domestic electronics manufacturing industry. Thus, the industry has to switch to cultivate unique capabilities and unite organizaton perception so as to hold a portion of the international arena. Therefore, this research is for the Hardware industry based on the theory of David J. Teece, Gary Pisano and Amy Shuen (1997) to verify the firms have competitive advantages to cope with uncertain environment through dynamic capabilities. Besides, this research is to identify the relationships among dynamic capabilities, organization identification and competitive advantages in Hardware Industry and also to verify if mediation effect of organization identification is existed between dynamic capabilities and competitive advantage so as to prove dynamic capabilities affect competitive advantages through the effect of organization identification. The population of sampling in this research is from 425 firms exhibited in the Taiwan 2018 Hardware Show. 308 questionatires were given out to related exhibitors. 203pcs were collected for analysis. 12pcs were useless for excluded industry. Valid questionairs are 191pcs with the response rate of 44.94%. Statistic analyses such as descriptive system analysis, reliability analysis, factor analysis, correlation analysis, regression analysis, Logistic regression, cluster analysis and ANOVA were used to verify the relationships among factors and dimensions. The study results indicated that: 1) The 3 dimensions of dynamic capabilities, processes, positions and path have positive and significant impact on competitive advantage that is composed of quality, delivery and cost. 2) The Position dimension in dynamic capabilities is more significantly related to the Cost advantage than to the other comprtitive advantage. 3) Dynamic capabilities have positive and significant impact on organization identification. 4) Organization identification has positive and significant impact on competitive advantage. 5) Organization identitificaiton positively but partially mediated the relationship between dynamic capabilities and competitive advantage. From these statistical analyzing results, the research suggests that the companies in hardware industry in Taiwan should reconfigure their dynamic capabilities and emphasize organization identification so as to build up layers of competitive advantage in quality, cost and delivery.
Reineking, Tracy. "Methods and hardware for high speed real time processing for circuit board optical identification." 1994. http://catalog.hathitrust.org/api/volumes/oclc/32832444.html.
Full textTypescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 136-138).
Wu, Lien-tang, and 吳連堂. "Stability Derivatives Identification and Hardware-in-the-Loop Real-time Simulation of Unmanned Air Vehicle." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/79509639712233471729.
Full text正修科技大學
機電工程研究所
94
The thesis explores three subjects, including the optimal estimation of dimensional stability derivatives in linear model of unmanned air vehicle (UAV) longitudinal and lateral dynamics, the control law design of UAV autopilot, and the hardware-in-the-loop simulation (HILS) system setup for real-time control experiment. In stability derivatives identification, at first the raw data from UAV test flight were carefully preprocessed to obtain the fine input-output data in 6 flight sections for longitudinal motion and 8 flight sections for lateral motion. Second, the dimensional stability derivatives were optimal estimated by applying the nonlinear least squares method. In addition, the linear least squares method was also used to figure out the initial guess for the nonlinear least squares method. As a result, 5 longitudinal models and 7 lateral models with root mean square error (RMSE) less than 5 were identified. Third, the impulse responses of the identified models were checked. Those models which did not have proper cause-effect relations between the input and output were eliminated. At last the union optimization procedure was proposed to obtain the final linear state-space model of UAV longitudinal and lateral motion. The resulting model not only met the RMSE criterion for different flight sections but also had reasonable input-output relationship. In UAV autopilot design, four feedback loops, such as altitude (pitch angle) loop, velocity loop, attitude (roll angle) loop, and heading (yaw angle) loop were considered. The optimal PID (proportional-integral-derivative) control laws were designed to satisfy the time-domain specifications by using the Nonlinear Control Design Blockset in the computer-aided control system design software MATLAB/Simulink. In real-time control experiment, the HILS system consisted of one PC, four data acquisition cards, and one PXI (PCI eXtensions for Instrumentation) embedded real-time controller was setup successfully. The graphical programming language LabVIEW providing convenient and tight integration with software and hardware was applied for the measurement and control in HILS system. The individual simulations of controller and plant were running independently and the communications between controller and plant were under a fixed sampling frequency. The results of HILS revealed that the inevitable time delay resulting from program computation would seriously destroy the performance and stability of real-time control system especially when the sampling frequency is rather low; however, the non-real-time computer simulation cannot reveal this critical time-delay problem. The importance of HILS is definitely confirmed.
Chi-ChungLiao and 廖啟仲. "A Electrical and Optogenetic Stimulation System for Epileptic Depression and Epilepsy Identification Algorithm Hardware Design." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/ph883p.
Full textTHANH, NGUYEN PHAN, and 阮潘青. "Digital Hardware Implementation of Radial Basis Function Neural Network and its Applications to System Identification and Control." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/88075108372817301237.
Full text南臺科技大學
電機工程系
104
A digital hardware implementation of a radial basis function neural network (RBF NN) is studied in this dissertation. Firstly, the architecture of the RBF NN, which consists of an input layer, a hidden layer of nonlinear processing neurons with Gaussian function and an output layer, is presented. Meanwhile, a supervising learning mechanism based on the stochastic gradient descent method is applied to update the parameters of RBF NN according to a specific cost function. Secondly, a very high speed integrated circuit hardware description language (VHDL) is adopted to describe the behavior of the overall RBF NN and its related learning algorithm. The detailed analysis of VHDL in performing Gaussian function, training mechanism and the whole neural network are illustrated. The data type applies 32bit length Q24 format and 2’s complement operation. Additionally, finite state machine (FSM) is applied for reducing the hardware resource usage. Furthermore, an implementation of mixed neural - microprocessor is supposed to enhance the flexibility of network design and reconfigurable RBF NN architecture. Thirdly, based on electronic design automation simulator link, a co-simulation work constructed by Simulink and ModelSim is applied to verify the proposed VHDL code for performing RBF NN function. In this co-simulation architecture, the input stimuli and output responses are run in Simulink and the function of the RBF NN is executed in ModelSim. Finally, the applications of RBF NN to identify and control in a linear/nonlinear system and in a permanent magnet synchronous motor (PMSM) drive system are taken as the application cases to validate the effectiveness and the correctness of the proposed digital hardware implementation of the RBF NN.
Lin, Yu-sheng, and 林祐聖. "Roller Bearing Defect Identification under Variable Rotating Speed Using Hilbert-Huang Transform and Amplitude Normalization via Hardware Implemented Order-Tracking Technique." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/43778807721053405346.
Full text國立中央大學
機械工程學系
101
In this study, Hilbert-Huang transform (HHT) is utilized for diagnosing the roller bearing faults, such as outer race defect, inner race defect, roller defect and multi-fault, under variable rotation speed. The vibration signals are first measure through the order tracking technique, so that the vibration signals are detected with identical angle increment and thus the vibration signals are stationary without the factor of variable shaft rotation speed. The envelope signals of the measurements are analyzed by Hilbert-Huang transform approach. The features of the faulted bearings are extracted by investigating the intrinsic mode functions (IMFs) as well as the marginal Hilbert spectra. The extracted features of the faulted bearing are then re-scaled through the amplitude normalization, so that the vibration energy are not affected by the variable rotation speed. Finally, the support vector machine is employed to identify the individual defect of bearing. The same SVM structure is also used to diagnose the occurrence of multi-fault in bearings.