[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-228452-en":3,"doc-seo-228452-105":30,"detail-sidebar-cat-0-en-105":97},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},228452,962085571259,"Putri","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Condition Monitoring of Wound-Rotor Induction Machines - Doctor of Philosophy Thesis","Condition monitoring for wound-rotor induction machines enables earlier diagnosis of fault inception in electrical machines, reducing the risk of failure and costly repairs. The thesis reviews existing condition monitoring techniques and focuses on induction machine fault issues. It develops impedance-matrix based models for healthy behavior and for detecting rotor unbalance, rotor eccentricity, and unbalanced magnetic pull. The approach uses theoretical formulation with Motor-CAD and validation through experiments comparing torque and current characteristics with computer predictions.","Faculty of Engineering & Information Technology  \nCONDITION MONITORING OF WOUND-ROTOR INDUCTION MACHINES  \nA thesis submitted for degree of  \nDoctor of Philosophy  \nAHMAD A. SALAH  \nOctober 2018  \nSchool of Electrical and Data Engineering Faculty of Engineering & Information Technology  \nCONDITION MONITORING OF WOUND-ROTOR INDUCTION MACHINES  \nDone by: AHMAD A. SALAH  \nSupervisor: A/Prof. Youguang Guo  \nCo-supervisor: A/Prof. Li Li  \nExternal supervisor: Prof. David Dorrell  \nCourse code: C02018  \nSubject Number: 49986 Doctor of Philosophy (PhD)  \nDates: 10/08/2014 to 25/09/2018  \nUniversity of Technology Sydney (UTS)  \nP.O. Box 123, Broadway, Ultimo, N.S.W. 2007  \nAustralia  \nI certify that the work in this thesis has not previously been submitted for a degree nor has it been submitted as part of requirements for a degree except as part of the collaborative doctoral degree and/or fully acknowledged within the text.  \nI also certify that the thesis has been written by me. Any help that I have received in my research work and the preparation of the thesis itself has been acknowledged. In addition, I certify that all information sources and literature used are indicated in the thesis.  \nSignature of Student:  \nProduction Note:  \nSignature removed prior to publication.  \nDate: 25 September 2018  \nبِ سْمِ اللَّه ِ الره حْ مَ نِ الره حِ يِم  \nفَإِ نه مَ عَ الْعُ سْرِ يُسْرً ا (٥ ) إِ نه مَ عَ الْعُ سْرِ يُسْرً ا (٦ ) [سورة الشرح]  \nFor indeed, with hardship [will be] ease (5) . Indeed, with hardship [will be] ease (6) .  \n[Quran, The Soothing/ash-Sharh 94]  \nFirst and foremost, my sincere thanks go to Allah, who has endowed me to complete this PhD degree. The research has been mainly financed by AL-Hussein bin Talal University, Ma’an, Jordan. Thanks must be made to them for their financial support of this project.  \nI would like to take this opportunity to thank the following people and organisations for their assistance and support during my candidature. My supervisor, Associate Professor Youguang Guo, has provided me invaluable knowledge and guidance, and together with external-supervisor, Professor David Dorrell, have guided me through this research and supported my work.  \nMost importantly, my wife, Nour, who is always by my side and helps me through thick and thin; I could not have done this without you. Of course, my family’s advice and encouragement are indispensable. Last but not least, my UTS colleagues ’ knowledge, advice, and experience have encouraged me to do better and better, through this journey. Mohammad Shalby, Omar Elshaweesh, Sari Awwad, Mohamed Awadallah and many others were along the way.  \nCondition monitoring enables diagnosis of the inception of fault mechanisms in electrical machines, thus averting failure and the need of expensive repairs. Therefore, it is valuable to develop efficient methods of condition monitoring. The idea would be relatively low cost and/or non-invasive system, which is still sufficiently powerful in terms of monitoring by online detection of developing faults. In this research, an overview of existing condition monitoring techniques is given, and issues related to induction machine faults are discussed. Therefore, this research develops a relatively simple yet powerful model for studying the behaviour of a wound rotor induction machine (WRIM) or doubly fed induction generator (DFIG) in healthy and faulty conditions based on the impedance matrix.  \nThe first part of the work presented in this dissertation builds the fundamental impedance matrix that can predict the behaviour of the WRIM or DFIG in a healthy condition. A theoretical model is necessary so that any stator or rotor winding configuration in the machine can be incorporated. The effect of rotor skew is considered in this model. Then, the Motor-CAD package is employed to predict the electromagnetic behaviour of the induction machine during steady-state and transient-state operation. Motor-CAD has been used for examining the ","cbCaitkkgFd7Rwsf","https://ap.wps.com/l/cbCaitkkgFd7Rwsf","pdf",9608904,1,228,"English","en",105,"# Acknowledgements\n# Condition Monitoring Background\n## Condition Monitoring Concept and Objectives\n# Impedance-Matrix Modeling\n## Fundamental Impedance Matrix for Healthy Operation\n## Motor-CAD-Based Electromagnetic Behaviour Prediction\n# Fault Detection Methods\n## Detecting Unbalanced Rotor-Phase Impedances\n## Rotor Eccentricity Detection and UMP Calculation\n## Pole-Specific Search Coils and Experimental Verification\n# Keywords","[{\"question\":\"Why is condition monitoring important for wound-rotor induction machines?\",\"answer\":\"Condition monitoring supports diagnosis of early fault mechanisms, helping avert machine failure and expensive repairs. The thesis emphasizes developing efficient, low-cost or non-invasive monitoring methods with sufficient online detection power.\"},{\"question\":\"How does the thesis model machine behaviour under healthy conditions?\",\"answer\":\"It first builds a fundamental impedance matrix to predict WRIM or DFIG behaviour in a healthy condition. It includes rotor skew effects and uses the Motor-CAD package to predict electromagnetic behaviour in steady and transient operation.\"},{\"question\":\"What faults and phenomena does the thesis focus on detecting, and how are results validated?\",\"answer\":\"The work detects unbalanced rotor-phase impedances, rotor eccentricity, and calculates unbalanced magnetic pull (UMP). Methods are verified experimentally, including tests with a four-pole wound rotor, with experimental torque and current characteristics compared against computer predictions.\"}]","Condition Monitoring of Wound-Rotor Induction Machines - Doctor of Philosophy Thesis | PDF",1789025499,575,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":92,"head_meta":94,"extra_data":96,"updated_unix":28},"condition-monitoring-of-wound-rotor-induction-machines-doctor-of-philosophy-thesis","",{"@graph":36,"@context":91},[37,54,74],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/condition-monitoring-of-wound-rotor-induction-machines-doctor-of-philosophy-thesis/228452/",4,{"url":52,"name":13,"@type":55,"image":56,"author":61,"headline":13,"publisher":63,"fileFormat":66,"inLanguage":23,"description":14,"dateModified":67,"datePublished":68,"encodingFormat":66,"isAccessibleForFree":69,"interactionStatistic":70},"DigitalDocument",{"url":57,"@type":58,"width":59,"height":60},"https://docshare.wps.com/thumbnails/condition-monitoring-of-wound-rotor-induction-machines-doctor-of-philosophy-thesis/228452.png","ImageObject",300,407,{"name":9,"@type":62},"Person",{"url":41,"name":64,"@type":65},"DocShare","Organization","application/pdf","2026-09-11","2026-09-10",true,{"@type":71,"interactionType":72,"userInteractionCount":20},"InteractionCounter",{"@type":73},"ViewAction",{"@type":75,"mainEntity":76},"FAQPage",[77,83,87],{"name":78,"@type":79,"acceptedAnswer":80},"Why is condition monitoring important for wound-rotor induction machines?","Question",{"text":81,"@type":82},"Condition monitoring supports diagnosis of early fault mechanisms, helping avert machine failure and expensive repairs. The thesis emphasizes developing efficient, low-cost or non-invasive monitoring methods with sufficient online detection power.","Answer",{"name":84,"@type":79,"acceptedAnswer":85},"How does the thesis model machine behaviour under healthy conditions?",{"text":86,"@type":82},"It first builds a fundamental impedance matrix to predict WRIM or DFIG behaviour in a healthy condition. It includes rotor skew effects and uses the Motor-CAD package to predict electromagnetic behaviour in steady and transient operation.",{"name":88,"@type":79,"acceptedAnswer":89},"What faults and phenomena does the thesis focus on detecting, and how are results validated?",{"text":90,"@type":82},"The work detects unbalanced rotor-phase impedances, rotor eccentricity, and calculates unbalanced magnetic pull (UMP). 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