General Electric Company

Fuxiao Xin

Achalesh Kumar Pandey

Weizhong Yan

Ramu Sharat Chandra

Larry Swanson

Rui Xu

Abhinav Saxena

Morgan Carthledge Salter

Jianbo Yang

According to some embodiments, a system and method are provided to model a sparse data asset. The system comprises a processor and a non-transitory computer-readable medium comprising instructions that when executed by the processor perform a method to model a sparse data asset. Relevant data and operational data associated with the newly operational are received. A transfer model based on the relevant data and the received operational data. An input into the transfer model is received and a predication based on data associated with the received operational data and the relevant data is output.

Method and system to model industrial assets using heterogenous data sources

According to some embodiments, system and methods are provided, comprising receiving, at a machine health module, non-parametric data associated with operation of an installed product; generating, via the machine health module, a health status for at least one of a failure type and a remaining useful life of the installed product, based on the received non-parametric data; and generating an operating response of the installed product based on the generated health status. Numerous other aspects are provided.

Machine health monitoring, failure detection and prediction using non-parametric data

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San Diego, CA, United States of America

Fuxiao Xin