Sao Paulo, Brazil

Marlon Nascimento Vicente


Average Co-Inventor Count = 5.6

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Campinas, BR (2022)
  • Sao Paulo, BR (2022 - 2023)

Company Filing History:


Years Active: 2022-2023

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Marlon Nascimento Vicente: Innovator in Predictive Asset Maintenance

Introduction

Marlon Nascimento Vicente is a notable inventor based in São Paulo, Brazil. He has made significant contributions to the field of predictive asset maintenance, holding a total of 3 patents. His work focuses on utilizing meteorological data to enhance asset management and maintenance strategies.

Latest Patents

Marlon Vicente's latest patents include innovative methods for predicting asset failures and optimizing maintenance schedules. One of his patents, titled "Risk failure prediction for line assets," involves receiving weather data, asset variable values, and failure data to generate a correlation factor. This factor allows for the selection of weather variables to predict failure probabilities for asset segments. Another patent, "Predictive asset maintenance," outlines a method for determining the location of an asset and using meteorological data to forecast degradation or failure probabilities. This method also includes dispatching maintenance services based on these forecasts.

Career Highlights

Marlon Vicente is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in predictive analytics and asset management. His innovative approaches have positioned him as a key player in the field, contributing to advancements in how companies manage their assets.

Collaborations

Marlon has collaborated with talented coworkers such as Tiago Bertoni Scarton and Thiago Bianchi. Their combined efforts have led to the development of cutting-edge solutions in predictive maintenance.

Conclusion

Marlon Nascimento Vicente is a pioneering inventor whose work in predictive asset maintenance is shaping the future of asset management. His patents reflect a deep understanding of the interplay between weather data and asset performance, making significant strides in the industry.

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