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2014

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Articles 1471 - 1500 of 1516

Full-Text Articles in Electrical and Computer Engineering

Emission Source Microscopy For Electromagnetic Interference Source Localization, Pratik Rajesh Maheshwari Jan 2014

Emission Source Microscopy For Electromagnetic Interference Source Localization, Pratik Rajesh Maheshwari

Doctoral Dissertations

"For complex and large systems with multiple sources, it is often difficult to localize the sources of radiation. Near-field electromagnetic scanning is used often for root-cause diagnosis by determining field distribution close to the PCB. In the near-field, the evanescent waves are dominant, which may lead to the misinterpretation of them being the dominant sources contributing to the far-field. Another limitation of near-field scanning is that the probe may not be able to access all locations near the PCB due to the complex geometry and high component density. Two-dimensional synthetic aperture radar is a well-known technique used for antenna diagnostic …


Maximum Crosstalk Estimation And Modeling Of Electromagnetic Radiation From Pcb/High-Density Connector Interfaces, Matthew Scott Halligan Jan 2014

Maximum Crosstalk Estimation And Modeling Of Electromagnetic Radiation From Pcb/High-Density Connector Interfaces, Matthew Scott Halligan

Doctoral Dissertations

"This dissertation explores two topics pertinent to electromagnetic compatibility research: maximum crosstalk estimation in weakly coupled transmission lines and modeling of electromagnetic radiation resulting from printed circuit board/high-density connector interfaces. Despite an ample supply of literature devoted to the study of crosstalk, little research has been performed to formulate maximum crosstalk estimates when signal lines are electrically long. Paper one illustrates a new maximum crosstalk estimate that is based on a mathematically rigorous, integral formulation, where the transmission lines can be lossy and in an inhomogeneous media. Paper two provides a thorough comparison and analysis of the newly derived maximum …


Modeling And Estimation Of Crosstalk Across A Channel With Multiple, Non-Parallel Coupling And Crossings Of Multiple Aggressors In Practical Pcbs, Arun Reddy Chada Jan 2014

Modeling And Estimation Of Crosstalk Across A Channel With Multiple, Non-Parallel Coupling And Crossings Of Multiple Aggressors In Practical Pcbs, Arun Reddy Chada

Doctoral Dissertations

"In Section 1, the focus is on alleviating the modeling challenges by breaking the overall geometry into small, unique sections and using either a Full-Wave or fast equivalent per-unit-length (Eq. PUL) resistance, inductance, conductance, capacitance (RLGC) method or a partial element equivalent circuit (PEEC) for the broadside coupled traces that cross at an angle. The simulation challenge is resolved by seamlessly integrating the models into a statistical simulation tool that is able to quantify the eye opening at BERs that would help electrical designers in locating crosstalk sensitive regions in the high speed backplane channel designs.

Section 2 investigates the …


Femtosecond Laser Micro-Machined Optical Fiber Based Embeddable Strain And Temperature Sensors For Structural Monitoring, Armadeep Kaur Jan 2014

Femtosecond Laser Micro-Machined Optical Fiber Based Embeddable Strain And Temperature Sensors For Structural Monitoring, Armadeep Kaur

Doctoral Dissertations

"Structural monitoring technology is becoming increasingly important for managing all types of structures. Embedding sensors while constructing new structures or repairing the old ones allows for continual monitoring of structural health thus giving an estimate of remaining utility. Along with being embeddable, miniaturized sensors that are easy to handle are highly sought after in the industry where in-situ monitoring is required in a harsh environment (corrosive atmosphere, high temperatures, high pressure etc.).

This dissertation demonstrates the use of femtosecond laser-fabricated Fabry-Perot interferometer (FPI) based optical fiber sensors for embedded applications like structural health monitoring. Two types of Fabry-Perot interferometer sensors, …


Radio Frequency Interference (Rfi) Modeling Of Complex Modules In Mobile Devices And System-Level Modeling For Transient Esd Simulation, Tianqi Li Jan 2014

Radio Frequency Interference (Rfi) Modeling Of Complex Modules In Mobile Devices And System-Level Modeling For Transient Esd Simulation, Tianqi Li

Doctoral Dissertations

"The thesis is composed of three papers, which cover the systematic modeling of radio-frequency-interference (RFI) and electro-static-discharge (ESD) problems happened in mobile devices.

In the first paper, an averaging technique is developed, for phase resolved scanning over random fields generated by multiple uncorrelated stochastic sources. This method can separate the field contribution of each noise source and resulting field patterns as if the out-of-interest sources were turned off. The scanned data can be used for emission source localization, far-field pattern calculation and Huygens's box modeling.

In the second paper, using Huygens's Equivalent Theorem a systematic approach for the modeling of …


Optimization In Microgrid Design And Energy Management, Tu Anh Nguyen Jan 2014

Optimization In Microgrid Design And Energy Management, Tu Anh Nguyen

Doctoral Dissertations

"The dissertation is composed of three papers, which cover microgrid systems performance characterization, optimal sizing for energy storage system and stochastic optimization of microgrid operation. In the first paper, a complete Photovoltaic-Vanadium Redox Battery (VRB) microgrid is characterized holistically. The analysis is based on a prototype system installation deployed at Fort Leonard Wood, Missouri, USA. In the second paper, the optimal sizing of power and energy ratings for a VRB system in isolated and grid-connected microgrids is proposed. An analytical method is developed to solve the problem based on a per-day cost model in which the operating cost is obtained …


Modeling And Optimization Of Energy Storage System For Microgrid, Xin Qiu Jan 2014

Modeling And Optimization Of Energy Storage System For Microgrid, Xin Qiu

Doctoral Dissertations

"The vanadium redox flow battery (VRB) is well suited for the applications of microgrid and renewable energy. This thesis will have a practical analysis of the battery itself and its application in microgrid systems. The first paper analyzes the VRB use in a microgrid system.

The first part of the paper develops a reduced order circuit model of the VRB and analyzes its experimental performance efficiency during deployment. The statistical methods and neural network approximation are used to estimate the system parameters. The second part of the paper addresses the implementation issues of the VRB application in a photovoltaic-based microgrid …


Advanced Active Rectifiers For Electric Vehicle Battery Charging, Darren Lee Paschedag Jan 2014

Advanced Active Rectifiers For Electric Vehicle Battery Charging, Darren Lee Paschedag

Doctoral Dissertations

"In a big picture sense, the work presented in this dissertation is in the area of fully electric or plug-in hybrid electric vehicles. Both of these vehicle types require an external power source to fully charge their large amount of energy storage. For most consumers this means plugging their vehicle into the utility which necessitates battery charging circuitry. More specifically, this dissertation focuses on the power factor correction (PFC) circuit which makes up one part of a typical battery charging system. The circuits presented here are not dependent on battery chemistry, so they can be utilized with all popular chemistries …


A Generalized Optimal Power Flow Program For Distribution System Analysis And Operation With Distributed Energy Resources And Solid State Transformers, Fanjun Meng Jan 2014

A Generalized Optimal Power Flow Program For Distribution System Analysis And Operation With Distributed Energy Resources And Solid State Transformers, Fanjun Meng

Doctoral Dissertations

"The present distribution system is gradually trending towards a smart grid paradigm with massive development of distributed energy resources (DER), advanced power electronics interfaces, and a digitalized communication platform. Such profound changes bring challenges as well as opportunities for an entity like the distribution network operator (DNO) to optimally operate DERs and other controllable elements to achieve higher levels of energy efficiency, economic benefits, supply reliability and power quality.

The major contribution of this dissertation is in the development of a generalized three-phase optimal power flow (OPF) program in a novel control scheme for future distribution system optimization and economic …


Electric-Drive Vehicle Emulation Using Advanced Test Bench, Poria Fajri Jan 2014

Electric-Drive Vehicle Emulation Using Advanced Test Bench, Poria Fajri

Doctoral Dissertations

"Vehicle electrification is considered to be the most promising approach toward addressing the concerns on climate change, sustainability, and rapid depletion of fossil fuel resources. As a result electric-drive vehicle (EDV) technology is becoming the subject of many research studies, from academia and research laboratories to automotive industries and their suppliers. However, a crucial step toward the success of EDV implementation is developing test platforms that closely emulate the behavior of these vehicles.

In this dissertation, a new approach for emulating an EDV system on a motor/dynamometer test bench is investigated. Two different methods of emulation are discussed which are …


Automated Classification Of Malignant Melanoma Based On Detection Of Atypical Pigment Network In Dermoscopy Images Of Skin Lesions, Nabin K. Mishra Jan 2014

Automated Classification Of Malignant Melanoma Based On Detection Of Atypical Pigment Network In Dermoscopy Images Of Skin Lesions, Nabin K. Mishra

Doctoral Dissertations

“Melanoma causes more deaths than any other form of skin cancer. Early melanoma detection is important to prevent progression to a more deadly stage. Automated computer-based identification of melanoma from dermoscopic images of skin lesions is the most efficient method in early diagnosis. An automated melanoma identification system must include multiple steps, involving lesion segmentation, feature extraction, feature combination and classification. In this research, a classifier-based approach for automatically selecting a lesion border mask for segmentation of dermoscopic skin lesion images is presented. A logistic regression based model selects a single lesion border mask from multiple border masks generated by …


Hardware Implementation Of Multiple-Input Multiple-Output Transceiver For Wireless Communication, Bing Han Jan 2014

Hardware Implementation Of Multiple-Input Multiple-Output Transceiver For Wireless Communication, Bing Han

Doctoral Dissertations

"This dissertation proposes an efficient hardware implementation scheme for iterative multi-input multi-output orthogonal frequency-division multiplexing (MIMO-OFDM) transceiver. The transmitter incorporates linear precoder designed with instantaneous channel state information (CSI). The receiver implements MMSE-IC (minimum mean square error interference cancelation) detector, channel estimator, low-density parity-check (LDPC) decoder and other supporting modules. The proposed implementation uses QR decomposition (QRD) of complex-valued matrices with four co-ordinate rotation digital computer (CORDIC) cores and back substitution to achieve the best tradeoff between resource and throughput. The MIMO system is used in field test and the results indicate that the instantaneous CSI varies very fast in …


Hardware Integration Of Ultracapacitor Based Energy Storage To Provide Grid Support And To Improve Power Quality Of The Distribution Grid, Deepak Somayajula Jan 2014

Hardware Integration Of Ultracapacitor Based Energy Storage To Provide Grid Support And To Improve Power Quality Of The Distribution Grid, Deepak Somayajula

Doctoral Dissertations

"Grid integration of distributed energy resources (DERs) is increasing rapidly. Integration of various types of energy storage technologies like batteries, ultracapacitors (UCAPs), superconducting magnets and flywheels to support intermittent DERs, such as solar and wind, in order to improve their reliability is becoming necessary. Of all the energy storage technologies UCAPs have low energy density, high power density and fast charge/discharge characteristics. They also have more charge/discharge cycles and higher terminal voltage per module when compared to batteries. All these characteristics make UCAPs ideal choice for providing support to events on the distribution grid which require high power for short …


Spectrum Sensing, Spectrum Monitoring, And Security In Cognitive Radios, Erfan Soltanmohammadi Jan 2014

Spectrum Sensing, Spectrum Monitoring, And Security In Cognitive Radios, Erfan Soltanmohammadi

LSU Doctoral Dissertations

Spectrum sensing is a key function of cognitive radios and is used to determine whether a primary user is present in the channel or not. In this dissertation, we formulate and solve the generalized likelihood ratio test (GLRT) for spectrum sensing when both primary user transmitter and the secondary user receiver are equipped with multiple antennas. We do not assume any prior information about the channel statistics or the primary user’s signal structure. Two cases are considered when the secondary user is aware of the energy of the noise and when it is not. The final test statistics derived from …


New Approaches To Smart Grid Security With Scada Systems, Bixiang Tang Jan 2014

New Approaches To Smart Grid Security With Scada Systems, Bixiang Tang

LSU Doctoral Dissertations

The use of information technology in electric power grid introduces the vulnerability problem looming the future smart grid. The supervisory control and data acquisition (SCADA)is the first defense, which itself is undermined by potential malicious attacks. This dissertation studies two particular security threats facing the smart grid and SCADA systems: the unobservable attack and the replay attack. The former is well known in fault detection of the power grid and has received renewed interest in the past a few years, while the latter is motivated by the Stuxnet worm allegedly used against the nuclear facilities in Iran. For unobservable attacks, …


Cost Minimization Approach To Synthesis Of Linear Reversible Circuits, Ben Schaeffer, Marek Perkowski Jan 2014

Cost Minimization Approach To Synthesis Of Linear Reversible Circuits, Ben Schaeffer, Marek Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

This paper presents a heuristic cost minimization approach to synthesizing linear reversible circuits. Two bidirectional linear reversible circuit synthesis methods are introduced, the Alternating Elimination with Cost Minimization method (AECM) and the Multiple CNOT Gate method (MCG). Algorithms, example syntheses, and extensions to these methods are presented. An MCG variant which incorporates line reordering is introduced. Tests comparing the new cost minimization methods with the best known method for large circuits are presented. Results show that of the three methods MCG had the lowest average CNOT gate counts for linear reversible circuits up to 24 lines, and that AECM had …


Reliability Analysis For Chain Topology Wireless Sensor Networks With Multiple-Sending Transmission Scheme, Jie Cai, Xiaoyu Song, Jinyuan Wang, Ming Gu Jan 2014

Reliability Analysis For Chain Topology Wireless Sensor Networks With Multiple-Sending Transmission Scheme, Jie Cai, Xiaoyu Song, Jinyuan Wang, Ming Gu

Electrical and Computer Engineering Faculty Publications and Presentations

Reliability analysis is a key problem in wireless sensor networks (WSNs). The primary contribution of this paper is an in-depth study of the reliability of a chain topology wireless sensor network with multiple-sending scheme. We study the wireless link reliability for the fading channels. The node energy availability for the source and relay nodes is investigated in terms of the limited node energy. The instantaneous network reliability and the mean time to failure are derived. Finally, the initial node energy allocation scheme is proposed to balance the lifetime of each sensor node, thus reducing the total energy consumption. The simulation …


Functional Verification Of High Performance Adders In Coq, Qian Wang, Xiaoyu Song, Ming Gu, Jiaguang Sun Jan 2014

Functional Verification Of High Performance Adders In Coq, Qian Wang, Xiaoyu Song, Ming Gu, Jiaguang Sun

Electrical and Computer Engineering Faculty Publications and Presentations

Addition arithmetic design plays a crucial role in high performance digital systems. The paper proposes a systematic method to formalize and verify adders in a formal proof assistant COQ. The proposed approach succeeds in formalizing the gate-level implementations and verifying the functional correctness of the most important adders of interest in industry, in a faithful, scalable, and modularized way. The methodology can be extended to other adder architectures as well.


Neuromodulation Based Control Of Autonomous Robots On A Cloud Computing Platform, Cameron Muhammad Jan 2014

Neuromodulation Based Control Of Autonomous Robots On A Cloud Computing Platform, Cameron Muhammad

College of Graduate Studies: Theses & Dissertations

In recent years, the advancement of neurobiologically plausible models and computer networking has resulted in new ways of implementing control systems on robotic platforms. The work presents a control approach based on vertebrate neuromodulation and its implementation on autonomous robots in the open-source, open-access environment of robot operating system (ROS). A spiking neural network (SNN) is used to model the neuromodulatory function for generating context based behavioral responses of the robots to sensory input signals. The neural network incorporates three types of neurons- cholinergic and noradrenergic (ACh/NE) neurons for attention focusing and action selection, dopaminergic (DA) neurons for rewards- and …


Advanced Control Of Small-Scale Power Systems With Penetration Of Renewable Energy Sources, Shaghayegh Kazemlou Jan 2014

Advanced Control Of Small-Scale Power Systems With Penetration Of Renewable Energy Sources, Shaghayegh Kazemlou

LSU Doctoral Dissertations

Stability, protection, and operational restrictions are important factors to be taken into account in a proper integration of distributed energy. The objective of this research is presenting advanced controllers for small-scale power systems with penetration of renewable energy sources resources to ensure stable operation after the network disturbances. Power systems with distributed energy resources are modeled and controlled through applying nonlinear control methods to their power electronic interfaces in this research. The stability and control of both ac and dc systems have been studied in a multi-source framework. The dc distribution system is represented as a class of interconnected, nonlinear …


Effect Of Laser-Assisted Resonant Excitation On The Growth Of Gan Films, H. Rabiee Golgir, Y. Gao, Y. S. Zhou, L. S. Fan, Kamran Keramatnejad, Yongfeng Lu Jan 2014

Effect Of Laser-Assisted Resonant Excitation On The Growth Of Gan Films, H. Rabiee Golgir, Y. Gao, Y. S. Zhou, L. S. Fan, Kamran Keramatnejad, Yongfeng Lu

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Gallium nitride (GaN) films were grown using laser-assisted metal organic chemical vapor deposition (LMOCVD). The vibrational mode (1084.63 cm-1) of ammonia (NH3) molecules was resonantly excited using a wavelength-tunable CO2 laser at a laser wavelength of 9.219 μm due to its high absorption cross-section. Through wavelength-matched resonant excitation of the NH3 molecules, highly c-axis oriented GaN films were successfully deposited on sapphire (α-Al2O3) substrates at low temperatures (250 to 600oC). The strong (0001) GaN peak in Xray diffraction spectra confirmed the good crystalline quality of GaN films. Additionally, the …


Prepulse Inhibition Of The Acoustic Startle Reflex: Comparing Low And High Trait Anxious Individuals, Krista Sturm Jan 2014

Prepulse Inhibition Of The Acoustic Startle Reflex: Comparing Low And High Trait Anxious Individuals, Krista Sturm

Honors Theses

This investigation examined whether prepulse inhibition of the acoustic startle reflex was impaired among individuals with high trait anxiety compared to controls. PPI has traditionally been theorized to be a psychophysiological index of information processing and sensorimotor gating, and is now being used to help identify various psychological disorders. Although results of existing research on reduced PPI across the anxiety spectrum are equivocal, previous findings indicate that highly anxious (HA) participants exhibit significantly reduced PPI at lead intervals of 60 ms relative to low anxious (LA) controls. This study paired a 70 dB (A) white noise prepulse stimulus with a …


Processor, Payload, And Power Subsystem Development Of The Missat-1 Cubesat, Rana Roxanne Gordji, Zachary Christian Puuwai Olaa Morgan, Samuel Liyang Di Jan 2014

Processor, Payload, And Power Subsystem Development Of The Missat-1 Cubesat, Rana Roxanne Gordji, Zachary Christian Puuwai Olaa Morgan, Samuel Liyang Di

Honors Theses

This thesis details the development and programming of the processor subsystem, camera payload, and power subsystem of the Mississippi Imaging Space Satellite (MISSat-1). An overview of the hardware and software considerations necessary for the processor subsystem is discussed. An explanation of microcontroller uses as well as real time operating system fundamentals is also presented as it relates to MISSat-1. The subsystem deals with varieties of peripheral integration and communication standards among devices. The camera graphical user interface (GUI) was expanded with the addition of functions that improve CubeSat image handling. Additionally, image processing techniques and algorithms are considered to improve …


Hydrothermal Processing Of Biomass For Biofuels, Sandeep Kumar Jan 2014

Hydrothermal Processing Of Biomass For Biofuels, Sandeep Kumar

Civil & Environmental Engineering Faculty Publications

[First paragraph] In recent years, significant research interests have been placed on the conversion of non-food biomass resources such as lignocellulosic biomass (terrestrial) and algae (aquatic) to biofuels. Among all the alternative or renewable energy options, biomass is the only resource which is carbon neutral and can potentially replace part of fossil fuels use as liquid transportation fuels as well as contribute to electricity generation. Therefore, it can play a significant role in partially replacing oil, natural gas, and coal utilization for heat and energy generation. However, high moisture content of fresh biomass or algae is one of the major …


Defect Mediated Electrochemical Hydrogenation Of Epitaxial Graphene: Towards Graphene Based Microbial Fuel Cells, Kevin Michael Daniels Jan 2014

Defect Mediated Electrochemical Hydrogenation Of Epitaxial Graphene: Towards Graphene Based Microbial Fuel Cells, Kevin Michael Daniels

Theses and Dissertations

Microbial fuel cells (MFCs) are seen as a promising complementary technology to alleviate the exponentially increasing worldwide energy demand. MFCs use bacteria to extract energy from biomass, where choice of electrode materials has a strong impact on energy extraction and efficiency. Graphene, a single monolayer of carbon with exceptional electrical conductivity and high surface area, is seen as a promising material with the potential of improving charge transfer and bacterial adhesion. To probe this reactivity, a novel means of hydrogenation of graphene by electrochemistry is demonstrated.

In this thesis, electrochemical hydrogenation of epitaxial graphene (EG), graphene grown on silicon carbide …


High Frequency Ac Power Systems, Huaxi Zheng Jan 2014

High Frequency Ac Power Systems, Huaxi Zheng

Theses and Dissertations

High Frequency AC (HFAC) power systems - systems having frequencies higher than the usual 60 Hz - may have advantages in some applications, especially where small size and weight are important (aircraft, ships, etc), or where variable operating speed increases efficiency. While 400 Hz systems are widely used in aircraft, these generally do not include parallel-connected generators that operate at megawatt power levels, which is our domain of interest in this research. In particular, we are interested in micro-grid power systems in the 10-100 MW range, consisting of several generators operating in parallel at system frequencies above 60 Hz. This …


Yeast Pheromone Pathway Modeling Using Petri Nets, Stephen D. Scott, Abhishek Majumdar, Jitender S. Deogun, Steven D. Harris Jan 2014

Yeast Pheromone Pathway Modeling Using Petri Nets, Stephen D. Scott, Abhishek Majumdar, Jitender S. Deogun, Steven D. Harris

School of Computing: Conference and Workshop Papers

Background: Our environment is composed of biological components of varying magnitude. The relationships between the different biological elements can be represented as a biological network. The process of mating in S. cerevisiae is initiated by secretion of pheromone by one of the cells. Our interest lies in one particular question: how does a cell dynamically adapt the pathway to continue mating under severe environmental changes or under mutation (which might result in the loss of functionality of some proteins known to participate in the pheromone pathway). Our work attempts to answer this question. To achieve this, we first propose a …


A Comparison Of A Campus Cluster And Open Science Grid Platforms For Protein- Guided Assembly Using Pegasus Workflow Management System, Natasha Pavlovikj, Kevin Begcy, Sairam Behera, Malachy Campbell, Harkamal Walia, Jitender S. Deogun Jan 2014

A Comparison Of A Campus Cluster And Open Science Grid Platforms For Protein- Guided Assembly Using Pegasus Workflow Management System, Natasha Pavlovikj, Kevin Begcy, Sairam Behera, Malachy Campbell, Harkamal Walia, Jitender S. Deogun

School of Computing: Conference and Workshop Papers

Scientific workflows are a useful tool for managing large and complex computational tasks. Due to its intensive resource requirements, the scientific workflows are often executed on distributed platforms, including campus clusters, grids and clouds. In this paper we build a scientific workflow for blast2cap3, the protein-guided assembly, using the Pegasus Workflow Management System (Pegasus WMS). The modularity of blast2cap3 allows us to decompose the existing serial approach on multiple tasks, some of which can be run in parallel. Afterwards, this workflow is deployed on two distributed execution platforms: Sandhills, the University of Nebraska Campus Cluster, and the Open Science …


Transforming Web Tables To A Relational Database, David W. Embley, George Nagy, Sharad C. Seth Jan 2014

Transforming Web Tables To A Relational Database, David W. Embley, George Nagy, Sharad C. Seth

School of Computing: Conference and Workshop Papers

HTML tables represent a significant fraction of web data. The often complex headers of such tables are determined accurately using their indexing property. Isolated headers are factored to extract category hierarchies. Web tables are then transformed into a canonical form and imported into a relational database. The proposed processing allows for the formulation of arbitrary SQL queries over the collection of induced relational tables.


A Ga-Svm Hybrid Classifier For Multiclass Fault Identification Of Drivetrain Gearboxes, Dingguo Lu, Wei Qiao Jan 2014

A Ga-Svm Hybrid Classifier For Multiclass Fault Identification Of Drivetrain Gearboxes, Dingguo Lu, Wei Qiao

Department of Electrical and Computer Engineering: Faculty Publications

This paper presents a genetic algorithm (GA)- support vector machine (SVM) hybrid classifier for multiclass fault identification of drivetrain gearboxes in variable-speed operational conditions. An adaptive feature extraction algorithm is employed to effectively extract the features of gearbox faults from the stator current signal of an AC machine connected to the gearbox. The multiclass GA-SVM classifier is used to identify the faults in the gearbox according to the fault features extracted. A GA is designed to find the optimal parameters of the SVM to obtain the best classification accuracy. The proposed hybrid classifier is validated on a gearbox connected with …