US Patent Application 17804038. METHOD AND SYSTEM FOR INTELLIGENT MAINTENANCE SERVICES USING MACHINE LEARNING simplified abstract

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METHOD AND SYSTEM FOR INTELLIGENT MAINTENANCE SERVICES USING MACHINE LEARNING

Organization Name

SAUDI ARABIAN OIL COMPANY

Inventor(s)

Abdullah Yousef Bukhamsin of Al Mubarraz (SA)

Nadim Sohail of Rosny-Sous-Bois (FR)

Dalal Abadi Alharbi of Dhahran (SA)

Serkan Dursun of Dhahran (SA)

METHOD AND SYSTEM FOR INTELLIGENT MAINTENANCE SERVICES USING MACHINE LEARNING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17804038 titled 'METHOD AND SYSTEM FOR INTELLIGENT MAINTENANCE SERVICES USING MACHINE LEARNING

Simplified Explanation

The patent application describes a method for intelligent maintenance services using machine learning.

  • The method involves obtaining maintenance tickets associated with an industrial operation.
  • The maintenance tickets contain unstructured text.
  • The method uses natural language processing to extract features from the unstructured text of each maintenance ticket.
  • A topic model is generated for the maintenance tickets based on the extracted features.
  • The topic model represents each maintenance ticket as a collection of topics.
  • The topic model is applied to obtain maintenance insights for the industrial operation.


Original Abstract Submitted

A method for intelligent maintenance services using machine learning involves obtaining maintenance tickets associated with an industrial operation. The maintenance tickets include unstructured text. The method further involves, for each of the maintenance tickets, performing, by one or more computer processors, a natural language processing of the unstructured text to extract features, and generating, by the computer processor, a topic model for the maintenance tickets, based on the features. The topic model represents each of the maintenance tickets by a collection of topics. The method also involves applying the topic model to obtain maintenance insights for the industrial operation.