[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127420-en":3,"doc-seo-127420-105":30,"detail-sidebar-cat-0-en-105":92},{"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},127420,962085564807,"Aurelia","https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8",8,"Research & Report","Faulty Classification System for VTOL UAV Acoustic Signal using Machine Learning - GUI for Propeller Fault Prediction","Unmanned Aerial Vehicle (UAV) performance monitoring is critical to ensure safety and efficient flight operation, and the propeller is a key focus because failures can create hazardous incidents and raise maintenance costs. The study presents a user-friendly graphical user interface (GUI) developed with MATLAB Design App for a VTOL UAV propeller faulty classification system. It identifies propeller conditions using time- and frequency-domain acoustic features and allows selection of supervised machine learning inputs for fast real-time prediction.","1495  \nJurnal Kejuruteraan 37(3) 2025: 1495-1503  \n[https://doi.org/10.17576/jkukm-2025-37](https://doi.org/10.17576/jkukm-2025-37)(3)-32  \nFaulty Classification System for VTOL UAV Acoustic Signal using  \nMachine Learning  \nSiti Noormiza Makhtara,b*, Fareisya Zulaikha Mohd Sania, Elya Mohd Nora, Nur Diyana Kamarudinc & Syaril Azrad Md Alid,e  \naDepartment of Electrical and Electronics, Faculty of Engineering,  \nNational Defence University of Malaysia, Kem Sungai Besi, 57000 Kuala Lumpur, Malaysia  \nbDepartment of Industrial Revolution, Centre for Cyber Security & Digital Industrial Revolution, National Defence University of Malaysia, Malaysia  \ncDepartment of System & Communication Security,  \nNational Defence University of Malaysia, Malaysia  \ndDepartment of Aerospace Engineering, Faculty of Engineering,  \nUniversiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia  \neAerospace Malaysia Research Center,  \nUniversiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia  \n* Corresponding author: [noormiza@upnm.edu.my](noormiza@upnm.edu.my)  \nReceived 30 October 2024, Received in revised form 10 February 2025  \nAccepted 14 March 2025 , Available online 30 May 2025  \nABSTRACT  \nUnmanned Aerial Vehicle (UAV) performance monitoring is essential for safety and efficient flight operation. The propeller, a key element in flying performance, is the focus of our research. As a vital part of the Vertical take-off and landing (VTOL) UAV flight mechanism, propeller failure could lead to hazardous incidents and increased maintenance costs. This paper introduces a user-friendly graphical user interface (GUI) development for the VTOLUAV propeller faulty classification system using the MATLAB Design App. The GUI, designed, enables the identification of different propeller conditions based on time-domain and frequency-domain acoustical features. Users can select their preferred features for faulty prediction using a specified supervised machine learning algorithm. Our study demonstrates that the GUI for propeller faulty classification can provide fast and highaccuracy real-time flying performance insights, significantly improving the efficiency of monitoring work in UAV technology and aviation safety.  \nKeywords: Acoustic; VTOL UAV; machine learning; GUI  \nINTRODUCTION  \nUnmanned Aerial Vehicles (UAVs) are broadly categorized into fixed-wing UAVs and rotary-wing UAVs, each designed for specific operational needs. Rotary-wing UAVs, which include multirotor drones and helicopters, are particularly valued for their Vertical Takeoff and Landing (VTOL) capabilities, enabling them to hover, maneuver in tight spaces, and operate efficiently in dynamic environments. The size, weight, and aerodynamic properties of aUAV, particularly its propeller characteristics, play a crucial role in determining its flight stability, energy  \nefficiency, and overall performance (Subramaniam & Salim 2024). Due to their high agility and precise control, rotarywing UAVs are extensively utilized in applications such as aerial photography, surveillance, infrastructure inspection, and autonomous delivery systems. As these UAVs continue to evolve, ensuring optimal propeller performance remains critical to enhance their flight efficiency, reliability, and safety.  \nA critical component of UAVs that directly influences their performance, stability, and efficiency is the propeller. Propellers are rotating blades that generate the thrust needed for a UAV to lift off, maneuver, and maintain stable  \n1496  \nflight (Hage et al. 2023) . The effectiveness of a UAV’s propeller system significantly impacts its flight characteristics, including speed, agility, and payload capacity. Propeller design, material, and aerodynamics playa crucial role in reducing drag, enhancing lift efficiency, and optimizing power consumption, making them essential for mission-specific UAV operations.  \nVariations in propeller performance can directly affect energy consumption, flight endurance, and maneuvera","cbCaibzYsOjwpYaS","https://ap.wps.com/l/cbCaibzYsOjwpYaS","pdf",790511,1,9,"English","en",105,"# Abstract\n# Introduction\n## UAV types and VTOL capabilities\n## Propeller impact on stability and efficiency\n## Acoustic and vibration-based fault diagnosis research background\n# Faulty classification system and GUI approach","[{\"question\":\"What problem does the paper address for VTOL UAVs?\",\"answer\":\"It targets the need for reliable monitoring by classifying propeller faulty conditions, since propeller failure can lead to hazardous incidents and higher maintenance costs.\"},{\"question\":\"How does the proposed system detect propeller conditions?\",\"answer\":\"The GUI identifies different propeller states using acoustic features extracted in both the time domain and frequency domain.\"},{\"question\":\"What role does machine learning and the GUI play in the workflow?\",\"answer\":\"Users select preferred features and a specified supervised machine learning algorithm is used for faulty prediction, enabling fast and high-accuracy real-time performance insights.\"}]","Faulty Classification System for VTOL UAV Acoustic Signal using Machine Learning - GUI for Propeller Fault Prediction | PDF",1785938784,23,{"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":87,"head_meta":89,"extra_data":91,"updated_unix":28},"faulty-classification-system-for-vtol-uav-acoustic-signal-using-machine-learning-gui-for-propeller-fault-prediction","",{"@graph":36,"@context":86},[37,54,69],{"@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/faulty-classification-system-for-vtol-uav-acoustic-signal-using-machine-learning-gui-for-propeller-fault-prediction/127420/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-23","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What problem does the paper address for VTOL UAVs?","Question",{"text":76,"@type":77},"It targets the need for reliable monitoring by classifying propeller faulty conditions, since propeller failure can lead to hazardous incidents and higher maintenance costs.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How does the proposed system detect propeller conditions?",{"text":81,"@type":77},"The GUI identifies different propeller states using acoustic features extracted in both the time domain and frequency domain.",{"name":83,"@type":74,"acceptedAnswer":84},"What role does machine learning and the GUI play in the workflow?",{"text":85,"@type":77},"Users select preferred features and a specified supervised machine learning algorithm is used for faulty prediction, enabling fast and high-accuracy real-time performance insights.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":46,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":46,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":46,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":107,"slug":138},19,"General","general"]