Chaoyang District, China

Ji Jiang Song


Average Co-Inventor Count = 4.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Beijing, CN (2020)
  • Chaoyang District, CN (2021)

Company Filing History:


Years Active: 2020-2021

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3 patents (USPTO):Explore Patents

Title: The Innovations of Ji Jiang Song

Introduction

Ji Jiang Song is a notable inventor based in Chaoyang District, China. He has made significant contributions to the field of equipment failure data classification, particularly in the context of oil and gas exploration. With a total of 3 patents to his name, his work has garnered attention for its innovative approach to data management and analysis.

Latest Patents

One of Ji Jiang Song's latest patents focuses on facilitating the classification of equipment failure data. This patent involves employing grouping and selection components to organize failure data associated with oil and gas exploration equipment into various equipment failure type groups. The method described in the patent includes grouping training data of a set of equipment failure data into one or more failure type groups based on determined failure criteria. These groups represent equipment failure classifications linked to energy exploration processes. Additionally, the system selects first ungrouped data from the set of equipment failure data based on the similarity level between the ungrouped data and the training data.

Career Highlights

Ji Jiang Song is currently associated with International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to further develop his innovative ideas and contribute to advancements in technology and data analysis.

Collaborations

Some of Ji Jiang Song's coworkers include Jing Ding and Jing Li. Their collaboration has likely contributed to the success of his projects and patents.

Conclusion

Ji Jiang Song's contributions to the field of equipment failure data classification highlight his innovative spirit and dedication to improving technology in the energy sector. His patents reflect a commitment to enhancing data management processes, making him a significant figure in his field.

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