Bengaluru, India

Hiteshkumar Mistry

This inventor holds 1 USPTO granted patent. Top assignee: Ge Vernova Infrastructure Technology LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hiteshkumar Mistry. Retrieved from https://idiyas.com/inventor/hiteshkumar-mistry

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Hiteshkumar Mistry: Transformer Fault Forecasting Innovation

Introduction

Hiteshkumar Mistry is an inventor based in Bengaluru, India. His patent work addresses power transformer maintenance through forecasting methods that analyze dissolved gases and their rates of change.

Latest Patents

Mistry is associated with 1 patent: “Enhanced Transformer Fault Forecasting Based on Dissolved Gases Concentration and Their Rate of Change.” The invention describes receiving dissolved-gas measurements and transformer features, then grouping transformers into clusters based on similarities. For each cluster and gas, a suitable machine-learning model forecasts gas concentration by minimizing the difference between forecast and actual values. The method estimates the gas’s rate of change and compares it with an alarm threshold to predict a potential future transformer fault. When a fault is indicated, the system generates an alert that maintenance is required.

Career Highlights

Mistry is associated with GE Vernova Infrastructure Technology LLC. His patent highlights the use of transformer-specific features, clustering, and machine-learning forecasts to support predictive maintenance.

Collaborations

Palak Jain is identified as Mistry’s coworker. The available information does not specify their roles or whether they collaborated on the patent.

Conclusion

Hiteshkumar Mistry’s patent presents a data-driven approach to forecasting transformer faults, with the goal of helping maintenance teams identify potential problems before they develop into failures.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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