Ashish Arora is a Subject Matter Expert in Railway Engineering with a focus on condition monitoring, predictive maintenance, and asset reliability for rolling stock. With over 10 years of experience in the rail industry, his expertise extends to IoT-based digital transformation, particularly in vibration analysis, noise monitoring, and fault detection using advanced technologies like AI, ML, and DL.
Key Areas of Expertise:
- Condition Monitoring & Predictive Maintenance: Specialized in the development and deployment of real-time fault-diagnosing sensors that monitor wheels, bearings, tracks, and rail vehicle structures, preventing failures and enhancing operational efficiency.
- Digital Transformation & IoT: A champion of digital solutions, he leads projects that leverage IoT sensors, AI algorithms, and machine learning models to diagnose and mitigate rail asset issues before they escalate.
- Noise & Vibration Data Analysis: Extensive experience in vibration engineering, focusing on noise and vibration mapping, environmental impact assessments, and ride and comfort analysis to improve safety and reduce downtimes in rail operations.
- Rolling Stock & Rail Infrastructure Safety: Expertise in CBM (Condition-Based Maintenance) and RAMS (Reliability, Availability, Maintainability, and Safety), ensuring high standards of safety in signal, OHE, and rail vehicle performance.
Career Highlights:
- Project Manager at Hitachi Rail: Successfully managed and delivered projects on vibration analysis, predictive maintenance, and asset reliability for global rail networks. Contributed to cost-effective, innovative solutions that improved rail transportation safety and efficiency.
- Experience with Perpetuum Ltd.: Focused on onboard condition monitoring and vibration data monitoring systems, Ashish played a pivotal role in setting new standards in railway maintenance and locomotive reliability.
- Ground Vibration Analysis for Railways/Metros: Led significant projects on ground vibration analysis, including prediction modeling before construction, real-time analysis during construction, and post-operation data evaluation. These efforts focused on minimizing the impact of vibration on nearby structures and ensuring the safety of rail assets.
Contributions & Innovations:
- Developed IoT-based vibration sensors that provide real-time diagnostics, helping prevent catastrophic failures in bearings, wheels, tracks, and other critical rail components.
- Presented papers and findings at global conferences, showcasing expertise in railway engineering and predictive maintenance technologies.
- Played an integral role in noise and vibration mapping for rail projects, improving the passenger experience and reducing the risk of infrastructure damage from vibrations caused by train operations.
Ashish Arora’s contributions to railway engineering and his passion for innovation in asset reliability make him a leading figure in the ongoing efforts to enhance the safety, performance, and efficiency of rail networks globally.
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