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Intermittent Arc Fault Detection And Location For Aircraft Power Distribution System PDF

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Ryerson University Digital Commons @ Ryerson Theses and dissertations 1-1-2012 Intermittent Arc Fault Detection And Location For Aircraft Power Distribution System Anil Yaramasu Ryerson University Follow this and additional works at:http://digitalcommons.ryerson.ca/dissertations Part of theElectrical and Computer Engineering Commons Recommended Citation Yaramasu, Anil, "Intermittent Arc Fault Detection And Location For Aircraft Power Distribution System" (2012).Theses and dissertations.Paper 1670. This Thesis is brought to you for free and open access by Digital Commons @ Ryerson. It has been accepted for inclusion in Theses and dissertations by an authorized administrator of Digital Commons @ Ryerson. For more information, please [email protected]. INTERMITTENT ARC FAULT DETECTION AND LOCATION FOR AIRCRAFT POWER DISTRIBUTION SYSTEM by ANIL YARAMASU Bachelor of Technology, Electrical and Electronics Engineering, JNTUK, India, 2009 A thesis presented to Ryerson University in partial fulfillment of the requirements for the degree of Master of Applied Science in the Program of Electrical and Computer Engineering Toronto, Ontario, Canada, 2012 © Anil Yaramasu, 2012 AUTHOR’S DECLARATION I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I authorize Ryerson University to lend this thesis to other institutions or individuals for the purpose of scholarly research. I further authorize Ryerson University to reproduce this thesis by photocopying or by other means, in total or in part, at the request of other institutions or individuals for the purpose of scholarly research. I understand that my thesis may be made electronically available to the public. ii BORROWER’S PAGE Ryerson University requires the signatures of all persons using or photocopying this thesis. Please sign below, and give address and date. Name Address Date Signature iii ABSTRACT Intermittent Arc Fault Detection and Location for Aircraft Power Distribution System © Anil Yaramasu, 2012 Master of Applied Science in the program of Electrical and Computer Engineering Ryerson University This thesis addresses a non-destructive diagnostic method for intermittent arc fault detection and location. Intermittent arc faults appear in aircraft power systems in unpredictable manners when the degraded wires are wet, vibrating against metal structures, or under mechanical stresses, etc. They could evolve into serious faults that may cause on-board fires, power interruptions, system damage and catastrophic incidents, and thus have raised much concern in recent years. Recent trends in solid state power controllers (SSPCs) motivated the development of non- destructive diagnostic methods for health monitoring of aircraft wiring. In this thesis, the ABCD matrix (or transmission matrix) modeling method is introduced to derive normal and faulty load circuit models with better accuracy and reduced complexity compared to the conventional differential equation approach, and an intermittent arc fault detection method is proposed based on temporary deviations of load circuit model coefficients and wiring parameters. Furthermore, based on the faulty wiring model, a genetic algorithm (GA) is proposed to estimate the fault- related wiring parameters, such as intermittent arc location and average intermittent arc resistance. The proposed method can be applied to both the alternating current (AC) power distribution system (PDS) and direct current (DC) PDS. Simulations and experiments using a DC iv power source have been conducted, and the results have demonstrated effectiveness of the proposed method by estimating the fault location with an accuracy of +/- 0.5 meters on 24.6 meters wire. Unlike the existing techniques which generally requires special devices, the proposed method only needs circuit voltage and current measurement at the source end as inputs, and is thus suitable for SSPC-based aircraft PDS. v ACKNOWLEDGMENTS I would like to express my sincere gratitude to my main supervisor, Dr. Guangjun Liu, for his valuable suggestions, help, patience, and guidance during this work. My sincere gratitude also goes to my co-supervisor, Dr. Bin Wu, for his help, suggestions and wisdom. They provided much of the input that helped me to produce presentable and superior research work. My special thanks to Dr. Yinni Cao for her discussions, comments and suggestions during this work. I am thankful to my colleagues and friends at the Laboratory for Electric Drive Applications and Research (LEDAR), and those at the Systems and Control Laboratory for their friendship and discussions. I wish to thank Ryerson University for an International Graduate Scholarship. I am very thankful to my brother, Mr. Venkata Yaramasu, for his valuable suggestions, help and motivation. Countless thanks to my mother, uncle and other family members for their help, support, encouragement and patience. vi TABLE OF CONTENTS ABSTART………………………………………………….…………...………………………..iv ACKNOWLEDGMENTS………………………………...…………..………………………….vi TABLE OF CONTENTS……………………………………………………...…………..…….vii LIST OF FIGURES…………………………………………………….………………….…......ix LIST OF TABLES………………………………………………………..……………………....xi LIST OF PUBLICATIONS……………………………………………………………………...xii NOMENCLATURE………………………………………………………..…………………...xiii CHAPTER 1 INTRODUCTION……………………………………………...…………………..1 1.1 Overview…………………………………………………………………………………..1 1.2 Causes of wiring faults………………………………………………………………….....3 1.3 Review of existing methods…………………………………………………………...…..6 1.4 SSPC-based aircraft DC PDS...……………………………….…………….…………...16 1.5 Thesis objectives and contributions……………………………………………………...19 1.6 Thesis outline…………………………………………………………………………….21 CHAPTER 2 AIRCRAFT LOAD CIRCUIT MODELING………………………………..……23 2.1 Overview…………………………………………………………………………………23 2.2 ABCD method…………………………………………………….……………………..24 2.3 Modeling of normal load circuit…………………………………………………………26 2.4 Modeling of faulty load circuit…………………………………………………………..31 2.5 Summary…………………………………………………………………………………38 CHAPTER 3 INTERMITTENT ARC FAULT DETECTION AND LOCATION……………..39 3.1 Overview…………………………………………………………………………………39 3.2 Model coefficients and wiring parameters estimation, and intermittent arc fault detection……………………………………….……………………………………39 3.3 GA-based fault location estimation…………………………………...…………………45 3.3.1 Genetic algorithm…………………………………………………………………..49 3.4 Summary…………………………………………………………………………………52 CHAPTER 4 SIMULATION AND EXPERIMENTAL RESULTS……………...……………..53 4.1 Overview…………………………………………………………………………………53 vii 4.2 Simulation results………………………………………………………………………...53 4.3 Experimental setup…………………………………………….…………………………63 4.4 Experimental results……………………………………………………………………...65 4.5 Summary…………………………………………………………………………………76 CHAPTER 5 CONCLUSIONS……………………….…………...……………...……………..78 5.1 Conclusion……………………………………………………………………………….78 5.2 Future work………………………………………...…………………………………….80 REFERENCES…………………………………………………………………………………..81 viii LIST OF FIGURES Fig. 1.1 Causes of wiring faults…………………………………………………………………5 Fig. 1.2 Wire samples………………………………………………………………….………..7 Fig. 1.3 Functional block diagram of TDR……………………………………………………...9 Fig. 1.4 Principal diagram of current sensor based diagnostic method………………………..14 Fig. 1.5 An SSPC-based aircraft DC PDS…………………………………....…………..……18 Fig. 1.6 Typical I2t trip characteristics………………………………………………………...18 Fig. 2.1 A simple two-port network……………………………………………………………24 Fig. 2.2 An n-section cascaded two-port network……………………………………………..25 Fig. 2.3 SSPC-based normal load circuit……………………………………………....…..…..27 Fig. 2.4 Model of normal load circuit………………………………………………………….28 Fig. 2.5 Electric arc characterization……………………………….………………………….31 Fig. 2.6 Input voltage and current of load circuit during a typical intermittent arc fault condition………………………………………………………………………....33 Fig. 2.7 SSPC-based faulty load circuit………………………………………………………..34 Fig. 2.8 Model of faulty load circuit…………………………………………………………...34 Fig. 3.1 Estimated inductance l (µH/meter) values versus number of frequency points (N)….43 Fig. 3.2 Estimated capacitance c (pF/meter) values versus number of frequency points (N)…44 Fig. 3.3 Structure of a steady-state GA………………………………………………………..51 Fig. 4.1 Model of simulation……………………………………………….………………….54 Fig. 4.2 Load circuit supply voltage and current waveform…………………..……………….55 Fig. 4.3 GA results for fault condition (actual d is 14 meters)………………………………..61 1 Fig. 4.4 GA results for turn-on condition……………………………………………………...62 Fig. 4.5 Block diagram of experimental setup…………………………………………………63 Fig. 4.6 Picture of adjustable DC power supply……………………………………………….64 Fig. 4.7 Input voltage and current of load circuit under normal condition…………………….66 Fig. 4.8 Load circuit turn-on voltage waveform before (top) and after (bottom) interpolation method…………………………………………………………………..66 Fig. 4.9 Input voltage and current of load circuit under turn-on condition……………………67 Fig. 4.10 Input voltage and current of load circuit under turn-off condition …………....………67 ix

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Iarc arc current. Varc arc voltage θˆ unknown model coefficient vector. N .. in-flight wiring fault diagnosis because the PN code appears like a noise effective platform for implementation of both PLC and SSTDR technologies in
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