Sas Institute Inc.

Mark A Wolff

A system, method, and computer-program product includes receiving a machine-generated alert indicating a data outlier for a physical asset; obtaining, from a computer database, a dataset including observed data for the physical asset within a predefined temporal window of the machine-generated alert; generating, via a description generator, a contextual description of the data outlier based at least on the observed data for the physical asset; searching an embedding-based knowledgebase for a subset of embedding representations of the plurality of embedding representations within a similarity threshold of an embedding representation of the contextual description; obtaining, from the computer database, a subset of the plurality of reference artifacts that correspond to the subset of embedding representations; and generating, via a large language model, a resolution suggestion for resolving the data outlier based at least on the subset of reference artifacts obtained from the computer database.

Systems and methods for automated prompt generation for intelligent alerting in condition monitoring using contextual language models and retrieval-augmented generation

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Cary, NC, United States of America

Mark A Wolff