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Multiple-Phase Modeling Of Degradation Signal For Condition Monitoring And Remaining Useful Life Prediction, Yuxin Wen, Jianguo Wu, Yuan Yuan 2017 Chapman University

Multiple-Phase Modeling Of Degradation Signal For Condition Monitoring And Remaining Useful Life Prediction, Yuxin Wen, Jianguo Wu, Yuan Yuan

Engineering Faculty Articles and Research

Remaining useful life prediction plays an important role in ensuring the safety, availability, and efficiency of various engineering systems. In this paper, we propose a flexible Bayesian multiple-phase modeling approach to characterize degradation signals for prognosis. The priors are specified with a novel stochastic process and the multiple-phase model is formulated to a novel state-space model to facilitate online monitoring and prediction. A particle filtering algorithm with stratified sampling and partial Gibbs resample-move strategy is developed for online model updating and residual life prediction. The advantages of the proposed method are demonstrated through extensive numerical studies and real case studies.


Wireless Window Blinds, Cooper Laone, Niraj Morar, Zachary Malig, Jake Phillips 2017 California Polytechnic State University, San Luis Obispo

Wireless Window Blinds, Cooper Laone, Niraj Morar, Zachary Malig, Jake Phillips

Electrical Engineering

The Internet of Things asserts that there exists a global need for all objects to connect easily and accessibly. Today, smartphones, tablets, laptops and smart watches makeup just a few of the interconnected devices by the greater population. As a result a growing need for wireless connection between personal devices like phones, and computers to everyday appliances exists. This idea extends directly to households, businesses and buildings, where a growing need for smart home or smart-business appliances has taken root. Many companies like Nest, ADT and Apple make products for automated home security and in home media control. The Wireless …


Solid State Drive, Shaun A. Steele 2017 California Polytechnic State University, San Luis Obispo

Solid State Drive, Shaun A. Steele

Electrical Engineering

This project documents the design and implementation of a solid state drive (SSD). SSDs are a non-volatile memory storage device that competes with hard disk drives. SSDs rely on flash memory, a type of non-volatile memory that is electrically erased and programmed. The appeal of SSDs lies in the fact that they allow a fast, reliable, and durable memory storage device. The goal of this project is to have a working external SSD built from scratch.


Formula Sae Power Distribution Controller, Daniel Baron 2017 California Polytechnic State University, San Luis Obispo

Formula Sae Power Distribution Controller, Daniel Baron

Electrical Engineering

The Power Distribution Controller senior project aims to replace the current Power Distribution Module (PDM) on Cal Poly’s Formula SAE internal combustion vehicle with a more advanced, configurable, and reliable system. The Power Distribution Controller is a MOSFET based system that can be controlled through either controller area network or a parallel interface to distribute and control power from the vehicle’s battery to the several electrical devices on the car. The Power Distribution Controller also collects output voltage and current data, and communicates this data to the vehicle’s data logger. This will allow engineers to troubleshoot electrical problems on the …


Water Leak Detection System, Ryan T. Hanson 2017 California Polytechnic State University, San Luis Obispo

Water Leak Detection System, Ryan T. Hanson

Electrical Engineering

The water supply shortage has increased in recent years due to overpopulation, climate change and obsolete water facilities, where deteriorated pipes cause most of the water leaks. The problem is not the size of the leak, but the time it takes to detect it. This paper presents the implementation of a system installed in the hydraulic facilities of a residence, to detect water leaks. The system consists of a water sensor installed by a water reservoir of interest, a microprocessor to interpret the data and evaluate whether it is a water leak or not, an SMS alert message, and an …


Data Fusion With 9 Degrees Of Freedom Inertial Measurement Unit To Determine Object’S Orientation, Long Dinh Tran 2017 California Polytechnic State University, San Luis Obispo

Data Fusion With 9 Degrees Of Freedom Inertial Measurement Unit To Determine Object’S Orientation, Long Dinh Tran

Electrical Engineering

Data fusion is a technique to integrate different types of data to a single unit to provide a more reliable representation of tracking measurement. Today, data fusion can be found in many applications such as tracking and surveillance system as well as on mobile applications. In this project, 9 Degrees of Freedom (DOF) Inertial Measurement Unit (IMU) composed of 3-axis Magnetometer, 3-axis Accelerometer, and 3-axis Gyroscope are processed to yield the object’s rotations in 3 dimensions. While the magnetometer (compass) is used to determine the heading angle, accelerometer is used to determine tilt axis, gyroscope can be process to calculate …


Improving A Particle Swarm Optimization-Based Clustering Method, Sharif Shahadat 2017 University of New Orleans

Improving A Particle Swarm Optimization-Based Clustering Method, Sharif Shahadat

LSU New Orleans Theses and Dissertations

This thesis discusses clustering related works with emphasis on Particle Swarm Optimization (PSO) principles. Specifically, we review in detail the PSO clustering algorithm proposed by Van Der Merwe & Engelbrecht, the particle swarm clustering (PSC) algorithm proposed by Cohen & de Castro, Szabo’s modified PSC (mPSC), and Georgieva & Engelbrecht’s Cooperative-Multi-Population PSO (CMPSO). In this thesis, an improvement over Van Der Merwe & Engelbrecht’s PSO clustering has been proposed and tested for standard datasets. The improvements observed in those experiments vary from slight to moderate, both in terms of minimizing the cost function, and in terms of run time.


Bendablesound: An Elastic Multisensory Surface Using Touch-Based Interactions To Assist Children With Severe Autism During Music Therapy, Franceli L. Cibrian, Oscar Peña, Deysi Ortega, Monica Tentori 2017 Chapman University

Bendablesound: An Elastic Multisensory Surface Using Touch-Based Interactions To Assist Children With Severe Autism During Music Therapy, Franceli L. Cibrian, Oscar Peña, Deysi Ortega, Monica Tentori

Engineering Faculty Articles and Research

Neurological Music Therapy uses live music to improve the sensorimotor regulation of children with severe autism. However, they often lack musical training and their impairments limit their interactions with musical instruments. In this paper, we present our co-design work that led to the BendableSound prototype: an elastic multisensory surface encouraging users to practice coordination movements when touching a fabric to play sounds. We present the results of a formative study conducted with 18 teachers showing BendableSound was perceived as “usable” and “attractive”. Then, we present a deployment study with 24 children with severe autism showing BendableSound is “easy to use” …


An Exact Analysis For Four-Order Acousto-Optic Bragg Diffraction Which Incorporates Both Incident Light Angle And Sound Frequency Dependencies, Adeyinka Sunday Ademola 2017 University of Texas at Tyler

An Exact Analysis For Four-Order Acousto-Optic Bragg Diffraction Which Incorporates Both Incident Light Angle And Sound Frequency Dependencies, Adeyinka Sunday Ademola

Electrical Engineering Theses

This thesis extends the prior work which produced an exact solution to the four-order acousto-optic (AO) Bragg cell with assumed fixed center frequency and with exact Bragg angle incident light. The extension predicts the model that incorporates the dependencies of both the input angle of light and the sound frequency. Specifically, a generalized 4th order linear differential equation (DE), is developed from a simultaneous analysis of four coupled AO system of DEs. Through standard methods, the characteristic roots, which requires solving a quartic equation, is produced. Subsequently, a derived system of homogeneous solutions, which absorbs the roots obtained using …


Implementation Of Range Autofocus For Sar Radar Imaging, Nicholas J. Testin, Philip Davis 2017 Kennesaw State University

Implementation Of Range Autofocus For Sar Radar Imaging, Nicholas J. Testin, Philip Davis

KSU Journey Honors College Capstones and Theses

The range calculation for an FMCW radar depends on accurate linear modulation. In some circumstances, linear modulation may not be available and must be corrected for. This paper describes an autofocus technique used to correct for phase error due to non-linearities in the components of a FMCW radar. Also described here is the algorithm used in calculating the phase error and application of the phase correction with triangle modulation. Known errors were calculated at certain distances and applied to correcting the phase of data taken at similar distances. The results given were generated using a SAR working outside linear ranges.


Comparing Multiple Turbulence Restoration Algorithms Performance On Noisy Anisoplanatic Imagery, Michael Armand Rucci, Russell C. Hardie, Alexander J. Dapore 2017 Air Force Research Laboratory

Comparing Multiple Turbulence Restoration Algorithms Performance On Noisy Anisoplanatic Imagery, Michael Armand Rucci, Russell C. Hardie, Alexander J. Dapore

Electrical and Computer Engineering Faculty Publications

In this paper, we compare the performance of multiple turbulence mitigation algorithms to restore imagery degraded by atmospheric turbulence and camera noise. In order to quantify and compare algorithm performance, imaging scenes were simulated by applying noise and varying levels of turbulence. For the simulation, a Monte-Carlo wave optics approach is used to simulate the spatially and temporally varying turbulence in an image sequence. A Poisson-Gaussian noise mixture model is then used to add noise to the observed turbulence image set. These degraded image sets are processed with three separate restoration algorithms: Lucky Look imaging, bispectral speckle imaging, and a …


On The Simulation And Mitigation Of Anisoplanatic Optical Turbulence For Long Range Imaging, Russell C. Hardie, Daniel A. LeMaster 2017 University of Dayton

On The Simulation And Mitigation Of Anisoplanatic Optical Turbulence For Long Range Imaging, Russell C. Hardie, Daniel A. Lemaster

Electrical and Computer Engineering Faculty Publications

We describe a numerical wave propagation method for simulating long range imaging of an extended scene under anisoplanatic conditions. Our approach computes an array of point spread functions (PSFs) for a 2D grid on the object plane. The PSFs are then used in a spatially varying weighted sum operation, with an ideal image, to produce a simulated image with realistic optical turbulence degradation. To validate the simulation we compare simulated outputs with the theoretical anisoplanatic tilt correlation and differential tilt variance. This is in addition to comparing the long- and short-exposure PSFs, and isoplanatic angle. Our validation analysis shows an …


A Novel Time-Domain Method Of Fault Diagnosis In Induction Motors, Bryan J. Davis 2017 University of Connecticut

A Novel Time-Domain Method Of Fault Diagnosis In Induction Motors, Bryan J. Davis

Honors Scholar Theses

This paper introduces a novel time-domain method for detecting the four major types of induction motor faults without requiring complex signal processing or additional sensors other than those already in place for closed-loop motor control. This method artificially modulates the motor current feedback signal with a perturbed frequency that oscillates about the characteristic frequency of the fault in question. After filtering out the unwanted frequency components that result from the modulation, the selected fault-indicative component is a very slow sinusoid that is only present when the fault is present. The method looks for this fault-indicative component by monitoring the time …


Project Halon: Engaging Secondary Students In High-Altitude Ballooning Experiments, James M. Taylor Jr., Derrick A. Nero 2017 University of Nebraska-Lincoln

Project Halon: Engaging Secondary Students In High-Altitude Ballooning Experiments, James M. Taylor Jr., Derrick A. Nero

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

Project HALON Overview

•Fewer US STEM graduates

•Shortage of STEM educators

•Lack of engaging, high quality STEM material in the classroom

•Potentially results in lower global economic competitiveness

Experiment Constraints

•Project brings together STEM major mentors and educators

•Builds understanding of research and operational challenges

•Students get excited about more complex experiments (CubeSATs)

HALON: High Altitude Learning Over Nebraska

•High altitude balloon lift platform

•Student-designed experiments tailored to student team abilities

•NASA-inspired near-space systems engineering process for tradeoffs

•Engagement / mentoring for pre-service and in-service educators


Laser Microphone, Michael McKee 2017 University of Southern Maine

Laser Microphone, Michael Mckee

Thinking Matters Symposium Archive

The laser microphone is a multifaceted project. The main objective of this project is the design and construction of a laser microphone. This device is able to detect sound via variations in light waves. Production of this device being one obvious outcome of the project, observation and experimentation comprise the primary focus of the venture. Experiments reveal exactly how well this device is able to function and if it is able to be used in specific engineering applications. To function appropriately, this device should handle the translation from soundwaves to light waves with little to no alteration. Full signal analysis …


Transportation Engineering: Traffic Control Simulator, Sarah V. Hernandez, Karla Diaz-Corro, Taslima Akter, Magdalena Asborno, Fu Durandal 2017 University of Arkansas, Fayetteville

Transportation Engineering: Traffic Control Simulator, Sarah V. Hernandez, Karla Diaz-Corro, Taslima Akter, Magdalena Asborno, Fu Durandal

Civil Engineering Teaching and Learning

The purpose of these lesson plans is to introduce students to traffic signalization basics. Students will be lead through a series of mini-lectures on traffic control and signalization including a discussion on the limitations and benefits of traffic signalization. The lesson plans compliment a computer simulation “game” in which students act as manual operators for a single up to four by four gridded intersection. Students attempt to control the progression of signals to understand the relationship between signal timing and user delay. Through experimentation with the simulation, students generate a presentation discussing the benefits and drawbacks of signal timing and …


Rural Broadband Mobile Communications: Spectrum Occupancy And Propagation Modeling In Western Montana, Erin Wiles 2017 Montana Tech

Rural Broadband Mobile Communications: Spectrum Occupancy And Propagation Modeling In Western Montana, Erin Wiles

Graduate Theses & Non-Theses

Fixed and mobile spectrum monitoring stations were implemented to study the spectrum range from 174 to 1000 MHz in rural and remote locations within the mountains of western Montana, USA. The measurements show that the majority of this spectrum range is underused and suitable for spectrum sharing. This work identifies available channels of 5-MHz bandwidth to test a remote mobile broadband network. Both TV broadcast stations and a cellular base station were modelled to test signal propagation and interference scenarios.


Centralized Control For Dc Microgrid Using Finite State Machine, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed 2017 CUNY City College

Centralized Control For Dc Microgrid Using Finite State Machine, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed

Publications and Research

In this paper, an autonomous communication-based centralized control for DC microgrids (MG) has been developed and implemented. The proposed controller enables smooth transition between various operating modes. Finite state machine (FSM) has been used to mathematically describe the various operating modes (states), and events that may lead to mode changes (transitions). Therefore, the developed centralized controller aims at optimizing the performance of MG during all possible operational scenarios, while maintaining its reliability and stability. Results of selected cases have been presented. These results show stable transition between modes, verifying the validity and applicability of the proposed controller.


Workplace Posture Assessment And Biofeedback With Kinect, Matthew Crussell 2017 California Polytechnic State University, San Luis Obispo

Workplace Posture Assessment And Biofeedback With Kinect, Matthew Crussell

Master's Theses

With the prevalence of computing, many workers today are confined to desk within an office. By sitting in these positions for long periods of time, workers are prone to develop one of many musculoskeletal disorders (MSDs), such as carpal tunnel syndrome. In order to prevent MSDs in the long term, workers must employ good sitting habits. One promising method to ensure good workplace posture is through camera monitoring. To date, camera systems have been used in determining posture in a clean environment. However, an occluded and cluttered background, which is typical in an office setting, imposes a great challenge for …


Feasibility Of Neural Networks For Maritime Visual Detection On A Mobile Platform, Robert Goring 2017 Embry-Riddle Aeronautical University

Feasibility Of Neural Networks For Maritime Visual Detection On A Mobile Platform, Robert Goring

Doctoral Dissertations and Master's Theses

Object detection through computer vision has traditionally been difficult to reliably implement due to various lighting conditions caused by weather and time of day. Any changes in conditions can be detrimental to the detector’s ability to accurately identify objects. A modern approach implements deep learning techniques to classify and train a neural network. While highly effective, this approach can be cumbersome and computationally intensive. This project will investigate the feasibility of using deep learning to detect, classify, and track objects in near real-time while being processed on a mobile platform. I will investigate the feasibility of these processes on a …


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