https://matjournals.net/engineering/index.php/JoAAEn <p><strong>JoAAE</strong> is a peer reviewed Journal in the discipline of Engineering published by the MAT Journals Pvt. Ltd. The Journal provides a platform to Researchers, Academicians, Scholars, Professionals and students in the Domain of Mechanical Engineering to promulgate their Research/Review/Case studies in the field of Automation and Automobile Engineering. The Journal aims to promote high quality empirical Research, Review articles, case studies and short communications mainly focused on Safety Engineering, Fuel Economy/Emissions, NVH Engineering (Noise, Vibration and Harshness), Manufacturing, Vehicle Dynamics, Engine Construction, Manufacturing Automation, and Mechatronics.</p> en-US Journal of Automation and Automobile Engineering https://matjournals.net/engineering/index.php/JoAAEn/article/view/2949 <p><em>The rapid expansion of electric two-wheelers (E2Ws) has intensified the need for reliable, safe, and efficient vehicle performance, highlighting the importance of systematic fault diagnosis and preventive maintenance strategies. This study presents a comprehensive investigation into the design, assembly-related faults, diagnostic methodologies, and maintenance practices applicable to modern electric two-wheeler systems. The research focuses on identifying critical failure points within the vehicle’s mechanical, electrical, and electronic subsystems, including the battery pack, motor, controller, wiring harness, braking components, chassis assembly, and drivetrain integrations that directly influence durability, safety, and performance. A hybrid methodology combining design analysis, Failure Mode and Effects Analysis (FMEA), condition monitoring, sensor-based diagnostics, and real-world case studies is adopted to map common assembly faults and their root causes. The study also leverages predictive maintenance techniques such as vibration analysis, thermal profiling, battery health assessment, and data-driven diagnostic models for early fault detection. Particular emphasis is given to the role of improper assembly practices, component misalignment, torque deviations, wiring inconsistencies, and inadequate quality checks, which often lead to premature failures and customer dissatisfaction. The preventive maintenance framework developed in this research integrates scheduled servicing, predictive diagnostics, and digital maintenance logs to establish a proactive approach for improving system reliability. Recommendations include enhanced design-for-maintenance principles, standardized assembly protocols, integration of on-board diagnostic sensors, and AI-enabled fault prediction tools. The findings of this study contribute to improving the lifecycle performance, safety, and operational efficiency of electric two-wheelers. The proposed fault diagnosis and preventive maintenance strategies offer practical insights for manufacturers, service centers, policymakers, and researchers, enabling more robust and sustainable adoption of electric mobility solutions.</em></p> Ravikant K. Nanwatkar Shruti Chikurdekar Swapnaja Indapurkar Sakhi Pathak Copyright (c) 2026 Journal of Automation and Automobile Engineering 2026-01-03 2026-01-03 1 17