London, United Kingdom

Marco Diciolla

USPTO Granted Patents = 4 

Average Co-Inventor Count = 13.0

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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4 patents (USPTO):Explore Patents

Title: Marco Diciolla: Innovator in Machine Fault Modelling

Introduction

Marco Diciolla is a prominent inventor based in London, GB. He has made significant contributions to the field of machine fault modelling, holding a total of four patents. His work focuses on developing systems and methods that enhance the reliability and maintenance of machines.

Latest Patents

Diciolla's latest patents include innovative technologies aimed at improving machine performance. One of his patents, titled "Machine Fault Modelling," describes systems and methods that utilize sensor logs and computer-readable logs to determine fault probabilities or risk scores for machines. This technology allows for proactive maintenance by analyzing data over specified periods. Another notable patent, "Determining Maintenance for a Machine," outlines a method for accessing and analyzing sensor logs and maintenance logs to prioritize maintenance tasks based on statistical metrics. These inventions reflect Diciolla's commitment to advancing machine reliability through data-driven approaches.

Career Highlights

Marco Diciolla is currently employed at Palantir Technologies Inc., where he continues to innovate in the field of machine learning and data analysis. His expertise in fault modelling and maintenance determination has positioned him as a key player in the industry. Diciolla's work not only contributes to the efficiency of machines but also enhances safety and operational effectiveness.

Collaborations

Diciolla collaborates with talented individuals such as Ezra Spiro and Andre Frederico Cavalheiro Menck. These partnerships foster a creative environment that drives innovation and leads to the development of cutting-edge technologies.

Conclusion

Marco Diciolla is a distinguished inventor whose work in machine fault modelling is paving the way for advancements in machine maintenance and reliability. His contributions are vital to the ongoing evolution of technology in this field.

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